stdlib-js

stdlib-js/ndarray-base-shape2stride...

Generate a stride array from an array shape.

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Apache License 2.0
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Support the dependencies of stdlib-js/ndarray-base-shape2strides

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List of ndarray orders.
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stdlib TypeScript type declarations.
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Define a non-enumerable read-only property.
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Load a manifest for compiling source files.
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Test if a value is an array.
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Round a double-precision floating-point number toward negative infinity.
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Discrete uniform distributed pseudorandom numbers.
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Uniformly distributed pseudorandom numbers between 0 and 1.
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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/ndarray-base-shape2strides

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Return the strides of a provided ndarray.
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Return the strides of a provided ndarray.
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Create a zero-filled ndarray having a specified shape and data type.
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Flatten an n-dimensional nested array.
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Multiple dispatch for unary mathematical functions.
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Multidimensional arrays.
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Create an uninitialized ndarray having a specified shape and data type.
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Flatten an n-dimensional nested array according to a callback function.
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Create a zero-filled ndarray having the same shape and data type as a provided ndarray.
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Create an uninitialized ndarray having the same shape and data type as a provided ndarray.
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Create a zero-filled ndarray having a specified shape and data type.
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Incrementally perform binary classification using stochastic gradient descent (SGD).
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Create an uninitialized ndarray having a specified shape and data type.
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Convert a linear index to an array of subscripts.
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Create an uninitialized ndarray having the same shape and data type as a provided ndarray.
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Generate pseudorandom numbers drawn from an exponential distribution.
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Create a zero-filled ndarray having the same shape and data type as a provided ndarray.
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Convert subscripts to a linear index.

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