stdlib-js

stdlib-js/assert-is-ndarray-like

Test if a value is ndarray-like.

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Apache License 2.0
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Support the dependencies of stdlib-js/assert-is-ndarray-like

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Base multidimensional array.
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Test if a value is a boolean.
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Multidimensional array constructor.
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Function which does nothing.
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tap-producing test harness for node and browsers
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Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
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Minimal TAP output formatter.
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Benchmark harness.

Support the repos that depend on stdlib-js/assert-is-ndarray-like

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Test if a value is a 1-dimensional ndarray-like object.
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Test if a value is a 2-dimensional ndarray-like object.
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Broadcast an ndarray to a specified shape.
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Multiple dispatch for unary mathematical functions.
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Multidimensional arrays.
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Convert an ndarray to a generic array.
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Create an iterator which returns [index, row] pairs for each row in a matrix (or stack of matrices).
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Create an iterator which iterates over each matrix in a stack of matrices.
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Create an iterator which returns [index, value] pairs for each element in a provided ndarray.
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Create an iterator which returns [index, matrix] pairs for each matrix in a stack of matrices.
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Create an iterator which iterates over each column in a matrix (or stack of matrices).
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Create an iterator which returns [index, column] pairs for each column in a matrix (or stack of matrices).
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Broadcast an ndarray to a specified shape if and only if the specified shape differs from the provided ndarray's shape.
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Create an iterator which returns individual elements from a provided ndarray.
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Incrementally perform binary classification using stochastic gradient descent (SGD).
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Create an ndarray function interface which performs multiple dispatch.
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Create an iterator which iterates over each row in a matrix (or stack of matrices).
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Fancy multidimensional array constructor.
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Perform a single-pass map-reduce operation against each element in an array while iterating from right to left and return the accumulated result.
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Apply a function to elements in two input arrays while iterating from right to left and assign the results to an output array.
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Return an ndarray element.
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Calculate the dot product of two vectors.
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Return a read-only truncated view of an input ndarray along a specific dimension.
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Apply a function against an accumulator and each element in an array and return the accumulated result.
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Test if a value is an ndarray-like object containing double-precision complex floating-point numbers.
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Broadcast ndarrays to a common shape.
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Return a read-only truncated view of an input ndarray.
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Return a read-only shifted view of an input ndarray along a specific dimension.
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Perform a chi-square independence test.
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Test if a value is an ndarray-like object containing single-precision complex floating-point numbers.
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Return a read-only view of an input ndarray.
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Return a read-only shifted view of an input ndarray.
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Broadcast ndarrays to a common shape.
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Perform a chi-square goodness-of-fit test.
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Perform a single-pass map-reduce operation against each element in an array and return the accumulated result.
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Apply a function against an accumulator and each element in an array while iterating from right to left and return the accumulated result.

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