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public static int probRound(double value, Random rand) {
if (value >= 0) {
double lower = Math.floor(value);
double prob = value - lower;
if (rand.nextDouble() < prob) {
return (int) lower + 1;
} else {
return (int) lower;
}
} else {
double lower = Math.floor(Math.abs(value));
double prob = Math.abs(value) - lower;
if (rand.nextDouble() < prob) {
return -((int) lower + 1);
} else {
return -(int) lower;
}
}
}//end probRound |
Rounds a double to the next nearest integer value in a probabilistic
fashion (e.g. 0.8 has a 20% chance of being rounded down to 0 and a
80% chance of being rounded up to 1). In the limit, the average of
the rounded numbers generated by this procedure should converge to
the original double.
@param value the double value
@param rand the random number generator
@return the resulting integer value
| MathUtils::probRound | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static /*@pure@*/ double roundDouble(double value, int afterDecimalPoint) {
double mask = Math.pow(10.0, (double) afterDecimalPoint);
return (double) (Math.round(value * mask)) / mask;
}//end roundDouble |
Rounds a double to the given number of decimal places.
@param value the double value
@param afterDecimalPoint the number of digits after the decimal point
@return the double rounded to the given precision
| MathUtils::roundDouble | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static /*@pure@*/ float roundFloat(float value, int afterDecimalPoint) {
float mask = (float) Math.pow(10, (float) afterDecimalPoint);
return (float) (Math.round(value * mask)) / mask;
}//end roundDouble |
Rounds a double to the given number of decimal places.
@param value the double value
@param afterDecimalPoint the number of digits after the decimal point
@return the double rounded to the given precision
| MathUtils::roundFloat | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static double bernoullis(double n, double k, double successProb) {
double combo = MathUtils.combination(n, k);
double p = successProb;
double q = 1 - successProb;
return combo * Math.pow(p, k) * Math.pow(q, n - k);
}//end bernoullis |
This will return the bernoulli trial for the given event.
A bernoulli trial is a mechanism for detecting the probability
of a given event occurring k times in n independent trials
@param n the number of trials
@param k the number of times the target event occurs
@param successProb the probability of the event happening
@return the probability of the given event occurring k times.
| MathUtils::bernoullis | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static /*@pure@*/ boolean sm(double a, double b) {
return (b - a > SMALL);
} |
Tests if a is smaller than b.
@param a a double
@param b a double
| MathUtils::sm | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static /*@pure@*/ boolean gr(double a, double b) {
return (a - b > SMALL);
} |
Tests if a is greater than b.
@param a a double
@param b a double
| MathUtils::gr | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static double[] fromString(String data, String separator) {
String[] split = data.split(separator);
double[] ret = new double[split.length];
for (int i = 0; i < split.length; i++) {
ret[i] = Double.parseDouble(split[i]);
}
return ret;
}//end fromString |
This will take a given string and separator and convert it to an equivalent
double array.
@param data the data to separate
@param separator the separator to use
@return the new double array based on the given data
| MathUtils::fromString | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static /*@pure@*/ double mean(double[] vector) {
double sum = 0;
if (vector.length == 0) {
return 0;
}
for (int i = 0; i < vector.length; i++) {
sum += vector[i];
}
return sum / (double) vector.length;
}//end mean |
Computes the mean for an array of doubles.
@param vector the array
@return the mean
| MathUtils::mean | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static int toDecimal(String binary) {
long num = Long.parseLong(binary);
long rem;
/* Use the remainder method to ensure validity */
while (num > 0) {
rem = num % 10;
num = num / 10;
if (rem != 0 && rem != 1) {
System.out.println("This is not a binary number.");
System.out.println("Please try once again.");
return -1;
}
}
int i = Integer.parseInt(binary, 2);
return i;
}//end toDecimal |
This will convert the given binary string to a decimal based
integer
@param binary the binary string to convert
@return an equivalent base 10 number
| MathUtils::toDecimal | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static int distanceFinderZValue(double[] vector) {
StringBuilder binaryBuffer = new StringBuilder();
List<String> binaryReps = new ArrayList<String>(vector.length);
for (int i = 0; i < vector.length; i++) {
double d = vector[i];
int j = (int) d;
String binary = Integer.toBinaryString(j);
binaryReps.add(binary);
}
//append from left to right, the least to the most significant bit
//till all strings are empty
while (!binaryReps.isEmpty()) {
for (int j = 0; j < binaryReps.size(); j++) {
String curr = binaryReps.get(j);
if (!curr.isEmpty()) {
char first = curr.charAt(0);
binaryBuffer.append(first);
curr = curr.substring(1);
binaryReps.set(j, curr);
} else
binaryReps.remove(j);
}
}
return Integer.parseInt(binaryBuffer.toString(), 2);
}//end distanceFinderZValue |
This will translate a vector in to an equivalent integer
@param vector the vector to translate
@return a z value such that the value is the interleaved lsd to msd for each
double in the vector
| MathUtils::distanceFinderZValue | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static double euclideanDistance(double[] p, double[] q) {
double ret = 0;
for (int i = 0; i < p.length; i++) {
double diff = (q[i] - p[i]);
double sq = Math.pow(diff, 2);
ret += sq;
}
return ret;
}//end euclideanDistance |
This returns the euclidean distance of two vectors
sum(i=1,n) (q_i - p_i)^2
@param p the first vector
@param q the second vector
@return the euclidean distance between two vectors
| MathUtils::euclideanDistance | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static double euclideanDistance(float[] p, float[] q) {
double ret = 0;
for (int i = 0; i < p.length; i++) {
double diff = (q[i] - p[i]);
double sq = Math.pow(diff, 2);
ret += sq;
}
return ret;
}//end euclideanDistance |
This returns the euclidean distance of two vectors
sum(i=1,n) (q_i - p_i)^2
@param p the first vector
@param q the second vector
@return the euclidean distance between two vectors
| MathUtils::euclideanDistance | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static double[] generateUniform(int l) {
double[] ret = new double[l];
Random rgen = new Random();
for (int i = 0; i < l; i++) {
ret[i] = rgen.nextDouble();
}
return ret;
}//end generateUniform |
This will generate a series of uniformally distributed
numbers between l times
@param l the number of numbers to generate
@return l uniformally generated numbers
| MathUtils::generateUniform | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static double manhattanDistance(double[] p, double[] q) {
double ret = 0;
for (int i = 0; i < p.length; i++) {
double difference = p[i] - q[i];
ret += Math.abs(difference);
}
return ret;
}//end manhattanDistance |
This will calculate the Manhattan distance between two sets of points.
The Manhattan distance is equivalent to:
1_sum_n |p_i - q_i|
@param p the first point vector
@param q the second point vector
@return the Manhattan distance between two object
| MathUtils::manhattanDistance | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static int randomNumberBetween(double begin, double end,double anchor) {
if (begin > end)
throw new IllegalArgumentException("Begin must not be less than end");
return (int) begin + (int) (anchor * ((end - begin) + 1));
} |
Generates a random integer between the specified numbers
@param begin the begin of the interval
@param end the end of the interval
@param anchor the base number (assuming to be generated from an external rng)
@return an int between begin and end
| MathUtils::randomNumberBetween | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static int randomNumberBetween(double begin, double end) {
if (begin > end)
throw new IllegalArgumentException("Begin must not be less than end");
return (int) begin + (int) (Math.random() * ((end - begin) + 1));
} |
Generates a random integer between the specified numbers
@param begin the begin of the interval
@param end the end of the interval
@return an int between begin and end
| MathUtils::randomNumberBetween | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static int randomNumberBetween(double begin, double end, RandomGenerator rng) {
if (begin > end)
throw new IllegalArgumentException("Begin must not be less than end");
return (int) begin + (int) (rng.nextDouble() * ((end - begin) + 1));
} |
Generates a random integer between the specified numbers
@param begin the begin of the interval
@param end the end of the interval
@return an int between begin and end
| MathUtils::randomNumberBetween | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public double slope(double x1, double x2, double y1, double y2) {
return (y2 - y1) / (x2 - x1);
}//end slope |
This returns the slope of the given points.
@param x1 the first x to use
@param x2 the end x to use
@param y1 the begin y to use
@param y2 the end y to use
@return the slope of the given points
| MathUtils::slope | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static void shuffleArray(int[] array, long rngSeed) {
shuffleArray(array, new Random(rngSeed));
} |
Shuffle the array elements using the specified RNG seed.
Uses Fisher Yates shuffle internally: <a href="https://en.wikipedia.org/wiki/Fisher%E2%80%93Yates_shuffle#The_modern_algorithm">
https://en.wikipedia.org/wiki/Fisher%E2%80%93Yates_shuffle#The_modern_algorithm</a>
@param array Array to shuffle
@param rngSeed RNG seed to use for shuffling
| MathUtils::shuffleArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static void shuffleArray(int[] array, Random rng) {
shuffleArraySubset(array, array.length, rng);
} |
Shuffle the array elements using the specified Random instance
Uses Fisher Yates shuffle internally: <a href="https://en.wikipedia.org/wiki/Fisher%E2%80%93Yates_shuffle#The_modern_algorithm">
https://en.wikipedia.org/wiki/Fisher%E2%80%93Yates_shuffle#The_modern_algorithm</a>
@param array Array to shuffle
@param rng Random instance to use for shuffling
| MathUtils::shuffleArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static void shuffleArraySubset(int[] array, int shuffleFirst, Random rng) {
for (int i = shuffleFirst-1; i > 0; i--) {
int j = rng.nextInt(i + 1);
int temp = array[j];
array[j] = array[i];
array[i] = temp;
}
} |
Shuffle the first N elements of the array using the specified Random instance.<br>
If shuffleFirst < array.length, only the elements 0 to shuffleFirst-1 are modified; values at indices shuffleFirst to
array.length-1 are not changed.
Uses Fisher Yates shuffle internally: <a href="https://en.wikipedia.org/wiki/Fisher%E2%80%93Yates_shuffle#The_modern_algorithm">
https://en.wikipedia.org/wiki/Fisher%E2%80%93Yates_shuffle#The_modern_algorithm</a>
@param array Array to shuffle first N elements of
@param rng Random instance to use for shuffling
| MathUtils::shuffleArraySubset | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public static int hashCode(double value) {
long bits = Double.doubleToLongBits(value);
return (int) (bits ^ (bits >>> 32));
} |
hashCode method, taken from Java 1.8 Double.hashCode(double) method
@param value Double value to hash
@return Hash code for the double value
| MathUtils::hashCode | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/MathUtils.java | Apache-2.0 |
public Rational() {
a = BigInteger.ZERO;
b = BigInteger.ONE;
} |
Default ctor, which represents the zero.
| Rational::Rational | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational(BigInteger a, BigInteger b) {
this.a = a;
this.b = b;
normalize();
} |
ctor from a numerator and denominator.
@param a the numerator.
@param b the denominator.
| Rational::Rational | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational(BigInteger a) {
this.a = a;
b = BigInteger.valueOf(1);
} |
ctor from a numerator.
@param a the BigInteger.
| Rational::Rational | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational(int a, int b) {
this(BigInteger.valueOf(a), BigInteger.valueOf(b));
} |
ctor from a numerator and denominator.
@param a the numerator.
@param b the denominator.
| Rational::Rational | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational(String str) throws NumberFormatException {
this(str, 10);
} |
ctor from a string representation.
@param str the string.
This either has a slash in it, separating two integers, or, if there is no slash,
is representing the numerator with implicit denominator equal to 1.
@warning this does not yet test for a denominator equal to zero
| Rational::Rational | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational(String str, int radix) throws NumberFormatException {
int hasslah = str.indexOf("/");
if (hasslah == -1) {
a = new BigInteger(str, radix);
b = new BigInteger("1", radix);
/* no normalization necessary here */
} else {
/* create numerator and denominator separately
*/
a = new BigInteger(str.substring(0, hasslah), radix);
b = new BigInteger(str.substring(hasslah + 1), radix);
normalize();
}
} |
ctor from a string representation in a specified base.
@param str the string.
This either has a slash in it, separating two integers, or, if there is no slash,
is just representing the numerator.
@param radix the number base for numerator and denominator
@warning this does not yet test for a denominator equal to zero
5
| Rational::Rational | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public static Rational binomial(Rational n, BigInteger m) {
if (m.compareTo(BigInteger.ZERO) == 0) {
return Rational.ONE;
}
Rational bin = n;
for (BigInteger i = BigInteger.valueOf(2); i.compareTo(m) != 1; i = i.add(BigInteger.ONE)) {
bin = bin.multiply(n.subtract(i.subtract(BigInteger.ONE))).divide(i);
}
return bin;
} /* Rational.binomial */ |
binomial (n choose m).
@param n the numerator. Equals the size of the set to choose from.
@param m the denominator. Equals the number of elements to select.
@return the binomial coefficient.
| Rational::binomial | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public static Rational binomial(Rational n, int m) {
if (m == 0) {
return Rational.ONE;
}
Rational bin = n;
for (int i = 2; i <= m; i++) {
bin = bin.multiply(n.subtract(i - 1)).divide(i);
}
return bin;
} /* Rational.binomial */ |
binomial (n choose m).
@param n the numerator. Equals the size of the set to choose from.
@param m the denominator. Equals the number of elements to select.
@return the binomial coefficient.
| Rational::binomial | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational multiply(final Rational val) {
BigInteger num = a.multiply(val.a);
BigInteger deno = b.multiply(val.b);
/* Normalization to an coprime format will be done inside
* the ctor() and is not duplicated here.
*/
return (new Rational(num, deno));
} /* Rational.multiply */ |
Multiply by another fraction.
@param val a second rational number.
@return the product of this with the val.
| Rational::multiply | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational multiply(final BigInteger val) {
Rational val2 = new Rational(val, BigInteger.ONE);
return (multiply(val2));
} /* Rational.multiply */ |
Multiply by a BigInteger.
@param val a second number.
@return the product of this with the value.
| Rational::multiply | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational multiply(final int val) {
BigInteger tmp = BigInteger.valueOf(val);
return multiply(tmp);
} /* Rational.multiply */ |
Multiply by an integer.
@param val a second number.
@return the product of this with the value.
| Rational::multiply | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational pow(int exponent) {
if (exponent == 0) {
return new Rational(1, 1);
}
BigInteger num = a.pow(Math.abs(exponent));
BigInteger deno = b.pow(Math.abs(exponent));
if (exponent > 0) {
return (new Rational(num, deno));
} else {
return (new Rational(deno, num));
}
} /* Rational.pow */ |
Power to an integer.
@param exponent the exponent.
@return this value raised to the power given by the exponent.
If the exponent is 0, the value 1 is returned.
| Rational::pow | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational pow(BigInteger exponent) throws NumberFormatException {
/* test for overflow */
if (exponent.compareTo(MAX_INT) == 1) {
throw new NumberFormatException("Exponent " + exponent.toString() + " too large.");
}
if (exponent.compareTo(MIN_INT) == -1) {
throw new NumberFormatException("Exponent " + exponent.toString() + " too small.");
}
/* promote to the simpler interface above */
return pow(exponent.intValue());
} /* Rational.pow */ |
Power to an integer.
@param exponent the exponent.
@return this value raised to the power given by the exponent.
If the exponent is 0, the value 1 is returned.
| Rational::pow | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational divide(final Rational val) {
BigInteger num = a.multiply(val.b);
BigInteger deno = b.multiply(val.a);
/* Reduction to a coprime format is done inside the ctor,
* and not repeated here.
*/
return (new Rational(num, deno));
} /* Rational.divide */ |
Divide by another fraction.
@param val A second rational number.
@return The value of this/val
| Rational::divide | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational divide(BigInteger val) {
Rational val2 = new Rational(val, BigInteger.ONE);
return (divide(val2));
} /* Rational.divide */ |
Divide by an integer.
@param val a second number.
@return the value of this/val
| Rational::divide | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational divide(int val) {
Rational val2 = new Rational(val, 1);
return (divide(val2));
} /* Rational.divide */ |
Divide by an integer.
@param val A second number.
@return The value of this/val
| Rational::divide | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational add(Rational val) {
BigInteger num = a.multiply(val.b).add(b.multiply(val.a));
BigInteger deno = b.multiply(val.b);
return (new Rational(num, deno));
} /* Rational.add */ |
Add another fraction.
@param val The number to be added
@return this+val.
| Rational::add | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational add(BigInteger val) {
Rational val2 = new Rational(val, BigInteger.ONE);
return (add(val2));
} /* Rational.add */ |
Add another integer.
@param val The number to be added
@return this+val.
| Rational::add | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational negate() {
return (new Rational(a.negate(), b));
} /* Rational.negate */ |
Compute the negative.
@return -this.
| Rational::negate | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational subtract(Rational val) {
Rational val2 = val.negate();
return (add(val2));
} /* Rational.subtract */ |
Subtract another fraction.
7
@param val the number to be subtracted from this
@return this - val.
| Rational::subtract | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational subtract(BigInteger val) {
Rational val2 = new Rational(val, BigInteger.ONE);
return (subtract(val2));
} /* Rational.subtract */ |
Subtract an integer.
@param val the number to be subtracted from this
@return this - val.
| Rational::subtract | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational subtract(int val) {
Rational val2 = new Rational(val, 1);
return (subtract(val2));
} /* Rational.subtract */ |
Subtract an integer.
@param val the number to be subtracted from this
@return this - val.
| Rational::subtract | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public BigInteger numer() {
return a;
} |
Get the numerator.
@return The numerator of the reduced fraction.
| Rational::numer | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public BigInteger denom() {
return b;
} |
Get the denominator.
@return The denominator of the reduced fraction.
| Rational::denom | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational abs() {
return (new Rational(a.abs(), b.abs()));
} |
Absolute value.
@return The absolute (non-negative) value of this.
| Rational::abs | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public BigInteger floor() {
/* is already integer: return the numerator
*/
if (b.compareTo(BigInteger.ONE) == 0) {
return a;
} else if (a.compareTo(BigInteger.ZERO) > 0) {
return a.divide(b);
} else {
return a.divide(b).subtract(BigInteger.ONE);
}
} /* Rational.floor */ |
floor(): the nearest integer not greater than this.
@return The integer rounded towards negative infinity.
| Rational::floor | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public BigInteger trunc() {
/* is already integer: return the numerator
*/
if (b.compareTo(BigInteger.ONE) == 0) {
return a;
} else {
return a.divide(b);
}
} /* Rational.trunc */ |
Remove the fractional part.
@return The integer rounded towards zero.
| Rational::trunc | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public int compareTo(final Rational val) {
/* Since we have always kept the denominators positive,
* simple cross-multiplying works without changing the sign.
*/
final BigInteger left = a.multiply(val.b);
final BigInteger right = val.a.multiply(b);
return left.compareTo(right);
} /* Rational.compareTo */ |
Compares the value of this with another constant.
@param val the other constant to compare with
@return -1, 0 or 1 if this number is numerically less than, equal to,
or greater than val.
| Rational::compareTo | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public int compareTo(final BigInteger val) {
final Rational val2 = new Rational(val, BigInteger.ONE);
return (compareTo(val2));
} /* Rational.compareTo */ |
Compares the value of this with another constant.
@param val the other constant to compare with
@return -1, 0 or 1 if this number is numerically less than, equal to,
or greater than val.
| Rational::compareTo | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public double doubleValue() {
/* To meet the risk of individual overflows of the exponents of
* a separate invocation a.doubleValue() or b.doubleValue(), we divide first
* in a BigDecimal environment and converst the result.
*/
BigDecimal adivb = (new BigDecimal(a)).divide(new BigDecimal(b), MathContext.DECIMAL128);
return adivb.doubleValue();
} /* Rational.doubleValue */ |
Return a double value representation.
@return The value with double precision.
| Rational::doubleValue | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public float floatValue() {
BigDecimal adivb = (new BigDecimal(a)).divide(new BigDecimal(b), MathContext.DECIMAL128);
return adivb.floatValue();
} /* Rational.floatValue */ |
Return a float value representation.
@return The value with single precision.
| Rational::floatValue | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public BigDecimal BigDecimalValue(MathContext mc) {
/* numerator and denominator individually rephrased
*/
BigDecimal n = new BigDecimal(a);
BigDecimal d = new BigDecimal(b);
return n.divide(d, mc);
} /* Rational.BigDecimnalValue */ |
Return a representation as BigDecimal.
@param mc the mathematical context which determines precision, rounding mode etc
@return A representation as a BigDecimal floating point number.
| Rational::BigDecimalValue | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public String toFString(int digits) {
if (b.compareTo(BigInteger.ONE) != 0) {
MathContext mc = new MathContext(digits, RoundingMode.DOWN);
BigDecimal f = (new BigDecimal(a)).divide(new BigDecimal(b), mc);
return (f.toString());
} else {
return a.toString();
}
} /* Rational.toFString */ |
Return a string in floating point format.
@param digits The precision (number of digits)
@return The human-readable version in base 10.
| Rational::toFString | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational max(final Rational val) {
if (compareTo(val) > 0) {
return this;
} else {
return val;
}
} /* Rational.max */ |
Compares the value of this with another constant.
@param val The other constant to compare with
@return The arithmetic maximum of this and val.
| Rational::max | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational min(final Rational val) {
if (compareTo(val) < 0) {
return this;
} else {
return val;
}
} /* Rational.min */ |
Compares the value of this with another constant.
@param val The other constant to compare with
@return The arithmetic minimum of this and val.
| Rational::min | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational Pochhammer(final BigInteger n) {
if (n.compareTo(BigInteger.ZERO) < 0) {
return null;
} else if (n.compareTo(BigInteger.ZERO) == 0) {
return Rational.ONE;
} else {
/* initialize results with the current value
*/
Rational res = new Rational(a, b);
BigInteger i = BigInteger.ONE;
for (; i.compareTo(n) < 0; i = i.add(BigInteger.ONE)) {
res = res.multiply(add(i));
}
return res;
}
} /* Rational.pochhammer */ |
Compute Pochhammer's symbol (this)_n.
@param n The number of product terms in the evaluation.
@return Gamma(this+n)/Gamma(this) = this*(this+1)*...*(this+n-1).
| Rational::Pochhammer | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public Rational Pochhammer(int n) {
return Pochhammer(BigInteger.valueOf(n));
} /* Rational.pochhammer */ |
Compute pochhammer's symbol (this)_n.
@param n The number of product terms in the evaluation.
@return Gamma(this+n)/GAMMA(this).
| Rational::Pochhammer | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
protected void normalize() {
/* compute greatest common divisor of numerator and denominator
*/
final BigInteger g = a.gcd(b);
if (g.compareTo(BigInteger.ONE) > 0) {
a = a.divide(g);
b = b.divide(g);
}
if (b.compareTo(BigInteger.ZERO) == -1) {
a = a.negate();
b = b.negate();
}
} /* Rational.normalize */ |
Normalize to coprime numerator and denominator.
Also copy a negative sign of the denominator to the numerator.
| Rational::normalize | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/Rational.java | Apache-2.0 |
public static boolean[] toBooleanArray(byte[] input) {
boolean[] output = new boolean[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i] != 0;
}
return output;
} |
Converts a byte array to a boolean array.
@param input the input byte array
@return a boolean array with true values for nonzero bytes and false values for zero bytes
| ArrayUtil::toBooleanArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static boolean[] toBooleanArray(short[] input) {
boolean[] output = new boolean[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i] != 0;
}
return output;
} |
Converts a short array to a boolean array.
@param input the input short array
@return a boolean array with true values for nonzero shorts and false values for zero shorts
| ArrayUtil::toBooleanArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static boolean[] toBooleanArray(int[] input) {
boolean[] output = new boolean[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i] != 0;
}
return output;
} |
Converts an int array to a boolean array.
@param input the input int array
@return a boolean array with true values for nonzero integers and false values for zero integers
| ArrayUtil::toBooleanArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static boolean[] toBooleanArray(long[] input) {
boolean[] output = new boolean[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i] != 0L;
}
return output;
} |
Converts a long array to a boolean array.
@param input the input long array
@return a boolean array with true values for nonzero longs and false values for zero longs
| ArrayUtil::toBooleanArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static boolean[] toBooleanArray(float[] input) {
boolean[] output = new boolean[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i] != 0.0f;
}
return output;
} |
Converts a float array to a boolean array.
@param input the input float array
@return a boolean array with true values for nonzero floats and false values for zero floats
| ArrayUtil::toBooleanArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static boolean[] toBooleanArray(double[] input) {
boolean[] output = new boolean[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i] != 0.0;
}
return output;
} |
Converts a double array to a boolean array.
@param input the input double array
@return a boolean array with true values for nonzero doubles and false values for zero doubles
| ArrayUtil::toBooleanArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static boolean[] fromFloat(float[] elements) {
boolean[] ret = new boolean[elements.length];
for(int i = 0; i < elements.length; i++) {
ret[i] = elements[i] == 0.0f ? false : true;
}
return ret;
} |
Create a boolean array from a float array.
@param elements the elements to create
@return the returned float array
| ArrayUtil::fromFloat | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static boolean[] nTimes(boolean element,int n) {
boolean[] ret = new boolean[n];
//boolean values default to false. Only need to iterate when true.
if(element) {
for (int i = 0; i < n; i++) {
ret[i] = element;
}
}
return ret;
} |
Generate an array with n elements of the same specified value.
@param element the element to create n copies of
@param n the number of elements
@return the created array
| ArrayUtil::nTimes | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static int[] toIntArray(short[] input) {
int[] output = new int[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts a short array to an int array.
@param input the input short array
@return an int array with each element equal to the corresponding short value
| ArrayUtil::toIntArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static int[] toIntArray(boolean[] input) {
int[] output = new int[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i] ? 1 : 0;
}
return output;
} |
Converts a short array to an int array.
@param input the input short array
@return an int array with each element equal to the corresponding int value
| ArrayUtil::toIntArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static int[] toIntArray(char[] input) {
int[] output = new int[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts a char array to an int array.
@param input the input char array
@return an int array with each element equal to the corresponding char value
| ArrayUtil::toIntArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static int[] toIntArray(int[] input) {
int[] output = new int[input.length];
System.arraycopy(input, 0, output, 0, input.length);
return output;
} |
Converts an int array to an int array (i.e., returns a copy of the input array).
@param input the input int array
@return a new int array with the same values as the input array
| ArrayUtil::toIntArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static int[] toIntArray(long[] input) {
int[] output = new int[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = (int) input[i];
}
return output;
} |
Converts a long array to an int array.
@param input the input long array
@return an int array with each element equal to the corresponding long value cast to an int
| ArrayUtil::toIntArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static int[] toIntArray(float[] input) {
int[] output = new int[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = (int) input[i];
}
return output;
} |
Converts a float array to an int array.
@param input the input float array
@return an int array with each element equal to the corresponding float value cast to an int
| ArrayUtil::toIntArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static int[] toIntArray(double[] input) {
int[] output = new int[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = (int) input[i];
}
return output;
} |
Converts a double array to an int array.
@param input the input double array
@return an int array with each element equal to the corresponding double value cast to an int
| ArrayUtil::toIntArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static double[] toDoubleArray(short[] input) {
double[] output = new double[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts a short array to a double array.
@param input the input short array
@return a double array with each element equal to the corresponding short value
| ArrayUtil::toDoubleArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static double[] toDoubleArray(char[] input) {
double[] output = new double[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts a char array to a double array.
@param input the input char array
@return a double array with each element equal to the corresponding char value
| ArrayUtil::toDoubleArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static double[] toDoubleArray(boolean[] input) {
double[] output = new double[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i] ? 1.0 : 0.0;
}
return output;
} |
Converts a boolean array to a double array.
@param input the input boolean array
@return a double array with each element equal to the corresponding double value
| ArrayUtil::toDoubleArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static double[] toDoubleArray(int[] input) {
double[] output = new double[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts an int array to a double array.
@param input the input int array
@return a double array with each element equal to the corresponding int value
| ArrayUtil::toDoubleArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static double[] toDoubleArray(long[] input) {
double[] output = new double[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts a long array to a double array.
@param input the input long array
@return a double array with each element equal to the corresponding long value
| ArrayUtil::toDoubleArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static double[] toDoubleArray(float[] input) {
double[] output = new double[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts a float array to a double array.
@param input the input float array
@return a double array with each element equal to the corresponding float value
| ArrayUtil::toDoubleArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static double[] toDoubleArray(double[] input) {
double[] output = new double[input.length];
System.arraycopy(input, 0, output, 0, input.length);
return output;
} |
Converts a double array to a double array (i.e., returns a copy of the input array).
@param input the input double array
@return a new double array with the same values as the input array
| ArrayUtil::toDoubleArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static long[] toLongArray(byte[] input) {
long[] output = new long[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts a byte array to a long array.
@param input the input byte array
@return a long array with each element equal to the corresponding byte value
| ArrayUtil::toLongArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static long[] toLongArray(boolean[] input) {
long[] output = new long[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i] ? 1 : 0;
}
return output;
} |
Converts a byte array to a long array.
@param input the input boolean array
@return a long array with each element equal to the corresponding long value
| ArrayUtil::toLongArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static long[] toLongArray(short[] input) {
long[] output = new long[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts a short array to a long array.
@param input the input short array
@return a long array with each element equal to the corresponding short value
| ArrayUtil::toLongArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static long[] toLongArray(char[] input) {
long[] output = new long[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts a char array to a long array.
@param input the input char array
@return a long array with each element equal to the corresponding char value
| ArrayUtil::toLongArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static long[] toLongArrayInt(int[] input) {
long[] output = new long[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts an int array to a long array.
@param input the input int array
@return a long array with each element equal to the corresponding int value
| ArrayUtil::toLongArrayInt | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static long[] toLongArrayFloat(float[] input) {
long[] output = new long[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = (long) input[i];
}
return output;
} |
Converts a float array to a long array.
@param input the input float array
@return a long array with each element equal to the corresponding float value
| ArrayUtil::toLongArrayFloat | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static long[] toLongArray(double[] input) {
long[] output = new long[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = (long) input[i];
}
return output;
} |
Converts a double array to a long array.
@param input the input double array
@return a long array with each element equal to the corresponding double value
| ArrayUtil::toLongArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static long[] toLongArray(long[] input) {
long[] output = new long[input.length];
System.arraycopy(input, 0, output, 0, input.length);
return output;
} |
Converts a long array to a long array (i.e., returns a copy of the input array).
@param input the input long array
@return a new long array with the same values as the input array
| ArrayUtil::toLongArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static float[] toFloatArray(short[] input) {
float[] output = new float[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts a short array to a float array.
@param input the input short array
@return a float array with each element equal to the corresponding short value
| ArrayUtil::toFloatArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static float[] toFloatArray(boolean[] input) {
float[] output = new float[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i] ? 1.0f : 0.0f;
}
return output;
} |
Converts a boolean array to a float array.
@param input the input boolean array
@return a float array with each element equal to the corresponding boolean value
| ArrayUtil::toFloatArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static float[] toFloatArray(char[] input) {
float[] output = new float[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts a char array to a float array.
@param input the input char array
@return a float array with each element equal to the corresponding char value
| ArrayUtil::toFloatArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static float[] toFloatArray(int[] input) {
float[] output = new float[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts an int array to a float array.
@param input the input int array
@return a float array with each element equal to the corresponding int value
| ArrayUtil::toFloatArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static float[] toFloatArray(long[] input) {
float[] output = new float[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = input[i];
}
return output;
} |
Converts a long array to a float array.
@param input the input long array
@return a float array with each element equal to the corresponding long value
| ArrayUtil::toFloatArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static float[] toFloatArray(double[] input) {
float[] output = new float[input.length];
for (int i = 0; i < input.length; i++) {
output[i] = (float) input[i];
}
return output;
} |
Converts a double array to a float array.
@param input the input double array
@return a float array with each element equal to the corresponding double value
| ArrayUtil::toFloatArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static float[] toFloatArray(float[] input) {
float[] output = new float[input.length];
System.arraycopy(input, 0, output, 0, input.length);
return output;
} |
Converts a float array to a float array (i.e., returns a copy of the input array).
@param input the input float array
@return a new float array with the same values as the input array
| ArrayUtil::toFloatArray | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static <T> T[] concat(Class<T> clazz,T[]...arrs) {
int totalLength = 0;
for(T[] arr : arrs) totalLength += arr.length;
T[] ret = (T[]) Array.newInstance(clazz,totalLength);
int count = 0;
for(T[] arr : arrs) {
for(T input : arr) {
ret[count] = input;
count++;
}
}
return ret;
} |
Concat all the elements
@param arrs the input arrays
@return
@param <T>
| ArrayUtil::concat | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static boolean containsAnyNegative(int[] arr) {
if(arr == null)
return false;
for(int i = 0; i < arr.length; i++) {
if(arr[i] < 0)
return true;
}
return false;
} |
Returns true if any array elements are negative.
If the array is null, it returns false
@param arr the array to test
@return
| ArrayUtil::containsAnyNegative | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
public static boolean anyLargerThan(int[] arrs, int check) {
for(int i = 0; i < arrs.length; i++) {
if(arrs[i] > check)
return true;
}
return false;
} |
@param arrs
@param check
@return
| ArrayUtil::anyLargerThan | java | deeplearning4j/deeplearning4j | nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | https://github.com/deeplearning4j/deeplearning4j/blob/master/nd4j/nd4j-common/src/main/java/org/nd4j/common/util/ArrayUtil.java | Apache-2.0 |
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