| Random Sampling |
| ==================================================== |
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| Random number generation in MXNet |
| ----------------------------------- |
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| ==================================== ======================================================================== |
| :doc:`mx.rnorm <./mx.rnorm>` Generate nomal distribution with mean and sd |
| :doc:`mx.runif <./mx.runif>` Generate uniform distribution in [low, high) with specified shape |
| :doc:`mx.set.seed <./mx.set.seed>` Set the seed used by mxnet device-specific random number generators |
| ==================================== ======================================================================== |
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| .. toctree:: |
| :titlesonly: |
| :hidden: |
| |
| mx.rnorm |
| mx.runif |
| mx.set.seed |
| |
| Random NDArrays |
| ----------------- |
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| ========================================================================================================== ================================================================================================================================================== |
| :doc:`mx.nd.normal <./mx.nd.normal>` Draw random samples from a normal (Gaussian) distribution |
| :doc:`mx.nd.random.exponential <./mx.nd.random.exponential>` Draw random samples from an exponential distribution |
| :doc:`mx.nd.random.gamma <./mx.nd.random.gamma>` Draw random samples from a gamma distribution |
| :doc:`mx.nd.random.generalized.negative.binomial <./mx.nd.random.generalized.negative.binomial>` Draw random samples from a generalized negative binomial distribution |
| :doc:`mx.nd.random.negative.binomial <./mx.nd.random.negative.binomial>` Draw random samples from a negative binomial distribution |
| :doc:`mx.nd.random.normal <./mx.nd.random.normal>` Draw random samples from a normal (Gaussian) distribution |
| :doc:`mx.nd.random.pdf.dirichlet <./mx.nd.random.pdf.dirichlet>` Computes the value of the PDF of *sample* of Dirichlet distributions with parameter *alpha* |
| :doc:`mx.nd.random.pdf.exponential <./mx.nd.random.pdf.exponential>` Computes the value of the PDF of *sample* of exponential distributions with parameters *lam* (rate) |
| :doc:`mx.nd.random.pdf.gamma <./mx.nd.random.pdf.gamma>` Computes the value of the PDF of *sample* of gamma distributions with parameters *alpha* (shape) and *beta* (rate) |
| :doc:`mx.nd.random.pdf.generalized.negative.binomial <./mx.nd.random.pdf.generalized.negative.binomial>` Computes the value of the PDF of *sample* of generalized negative binomial distributions with parameters *mu* (mean) and *alpha* (dispersion) |
| :doc:`mx.nd.random.pdf.negative.binomial <./mx.nd.random.pdf.negative.binomial>` Computes the value of the PDF of samples of negative binomial distributions with parameters *k* (failure limit) and *p* (failure probability) |
| :doc:`mx.nd.random.pdf.normal <./mx.nd.random.pdf.normal>` Computes the value of the PDF of *sample* of normal distributions with parameters *mu* (mean) and *sigma* (standard deviation) |
| :doc:`mx.nd.random.pdf.poisson <./mx.nd.random.pdf.poisson>` Computes the value of the PDF of *sample* of Poisson distributions with parameters *lam* (rate) |
| :doc:`mx.nd.random.pdf.uniform <./mx.nd.random.pdf.uniform>` Computes the value of the PDF of *sample* of uniform distributions on the intervals given by *[low,high)* |
| :doc:`mx.nd.random.poisson <./mx.nd.random.poisson>` Draw random samples from a Poisson distribution |
| :doc:`mx.nd.random.randint <./mx.nd.random.randint>` Draw random samples from a discrete uniform distribution |
| :doc:`mx.nd.random.uniform <./mx.nd.random.uniform>` Draw random samples from a uniform distribution |
| :doc:`mx.nd.sample.exponential <./mx.nd.sample.exponential>` Concurrent sampling from multiple exponential distributions with parameters lambda (rate) |
| :doc:`mx.nd.sample.gamma <./mx.nd.sample.gamma>` Concurrent sampling from multiple gamma distributions with parameters *alpha* (shape) and *beta* (scale) |
| :doc:`mx.nd.sample.generalized.negative.binomial <./mx.nd.sample.generalized.negative.binomial>` Concurrent sampling from multiple generalized negative binomial distributions with parameters *mu* (mean) and *alpha* (dispersion) |
| :doc:`mx.nd.sample.multinomial <./mx.nd.sample.multinomial>` Concurrent sampling from multiple multinomial distributions |
| :doc:`mx.nd.sample.negative.binomial <./mx.nd.sample.negative.binomial>` Concurrent sampling from multiple negative binomial distributions with parameters *k* (failure limit) and *p* (failure probability) |
| :doc:`mx.nd.sample.normal <./mx.nd.sample.normal>` Concurrent sampling from multiple normal distributions with parameters *mu* (mean) and *sigma* (standard deviation) |
| :doc:`mx.nd.sample.poisson <./mx.nd.sample.poisson>` Concurrent sampling from multiple Poisson distributions with parameters lambda (rate) |
| :doc:`mx.nd.sample.uniform <./mx.nd.sample.uniform>` Concurrent sampling from multiple uniform distributions on the intervals given by *[low,high)* |
| :doc:`mx.nd.uniform <./mx.nd.uniform>` Draw random samples from a uniform distribution |
| ========================================================================================================== ================================================================================================================================================== |
| |
| .. toctree:: |
| :titlesonly: |
| :hidden: |
| |
| mx.nd.normal |
| mx.nd.random.exponential |
| mx.nd.random.gamma |
| mx.nd.random.generalized.negative.binomial |
| mx.nd.random.negative.binomial |
| mx.nd.random.normal |
| mx.nd.random.pdf.dirichlet |
| mx.nd.random.pdf.exponential |
| mx.nd.random.pdf.gamma |
| mx.nd.random.pdf.generalized.negative.binomial |
| mx.nd.random.pdf.negative.binomial |
| mx.nd.random.pdf.normal |
| mx.nd.random.pdf.poisson |
| mx.nd.random.pdf.uniform |
| mx.nd.random.poisson |
| mx.nd.random.randint |
| mx.nd.random.uniform |
| mx.nd.sample.exponential |
| mx.nd.sample.gamma |
| mx.nd.sample.generalized.negative.binomial |
| mx.nd.sample.multinomial |
| mx.nd.sample.negative.binomial |
| mx.nd.sample.normal |
| mx.nd.sample.poisson |
| mx.nd.sample.uniform |
| mx.nd.uniform |
| |
| Random Symbols |
| ------------------ |
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| ================================================================================================================== ================================================================================================================================================== |
| :doc:`mx.symbol.random_exponential <./mx.symbol.random_exponential>` Draw random samples from an exponential distribution |
| :doc:`mx.symbol.random_gamma <./mx.symbol.random_gamma>` Draw random samples from a gamma distribution |
| :doc:`mx.symbol.random_generalized_negative_binomial <./mx.symbol.random_generalized_negative_binomial>` Draw random samples from a generalized negative binomial distribution |
| :doc:`mx.symbol.random_negative_binomial <./mx.symbol.random_negative_binomial>` Draw random samples from a negative binomial distribution |
| :doc:`mx.symbol.random_normal <./mx.symbol.random_normal>` Draw random samples from a normal (Gaussian) distribution |
| :doc:`mx.symbol.random_pdf_dirichlet <./mx.symbol.random_pdf_dirichlet>` Computes the value of the PDF of *sample* of Dirichlet distributions with parameter *alpha* |
| :doc:`mx.symbol.random_pdf_exponential <./mx.symbol.random_pdf_exponential>` Computes the value of the PDF of *sample* of exponential distributions with parameters *lam* (rate) |
| :doc:`mx.symbol.random_pdf_gamma <./mx.symbol.random_pdf_gamma>` Computes the value of the PDF of *sample* of gamma distributions with parameters *alpha* (shape) and *beta* (rate) |
| :doc:`mx.symbol.random_pdf_generalized_negative_binomial <./mx.symbol.random_pdf_generalized_negative_binomial>` Computes the value of the PDF of *sample* of generalized negative binomial distributions with parameters *mu* (mean) and *alpha* (dispersion) |
| :doc:`mx.symbol.random_pdf_negative_binomial <./mx.symbol.random_pdf_negative_binomial>` Computes the value of the PDF of samples of negative binomial distributions with parameters *k* (failure limit) and *p* (failure probability) |
| :doc:`mx.symbol.random_pdf_normal <./mx.symbol.random_pdf_normal>` Computes the value of the PDF of *sample* of normal distributions with parameters *mu* (mean) and *sigma* (standard deviation) |
| :doc:`mx.symbol.random_pdf_poisson <./mx.symbol.random_pdf_poisson>` Computes the value of the PDF of *sample* of Poisson distributions with parameters *lam* (rate) |
| :doc:`mx.symbol.random_pdf_uniform <./mx.symbol.random_pdf_uniform>` Computes the value of the PDF of *sample* of uniform distributions on the intervals given by *[low,high)* |
| :doc:`mx.symbol.random_poisson <./mx.symbol.random_poisson>` Draw random samples from a Poisson distribution |
| :doc:`mx.symbol.random_randint <./mx.symbol.random_randint>` Draw random samples from a discrete uniform distribution |
| :doc:`mx.symbol.random_uniform <./mx.symbol.random_uniform>` Draw random samples from a uniform distribution |
| :doc:`mx.symbol.sample_exponential <./mx.symbol.sample_exponential>` Concurrent sampling from multiple exponential distributions with parameters lambda (rate) |
| :doc:`mx.symbol.sample_gamma <./mx.symbol.sample_gamma>` Concurrent sampling from multiple gamma distributions with parameters *alpha* (shape) and *beta* (scale) |
| :doc:`mx.symbol.sample_generalized_negative_binomial <./mx.symbol.sample_generalized_negative_binomial>` Concurrent sampling from multiple generalized negative binomial distributions with parameters *mu* (mean) and *alpha* (dispersion) |
| :doc:`mx.symbol.sample_multinomial <./mx.symbol.sample_multinomial>` Concurrent sampling from multiple multinomial distributions |
| :doc:`mx.symbol.sample_negative_binomial <./mx.symbol.sample_negative_binomial>` Concurrent sampling from multiple negative binomial distributions with parameters *k* (failure limit) and *p* (failure probability) |
| :doc:`mx.symbol.sample_normal <./mx.symbol.sample_normal>` Concurrent sampling from multiple normal distributions with parameters *mu* (mean) and *sigma* (standard deviation) |
| :doc:`mx.symbol.sample_poisson <./mx.symbol.sample_poisson>` Concurrent sampling from multiple Poisson distributions with parameters lambda (rate) |
| :doc:`mx.symbol.sample_uniform <./mx.symbol.sample_uniform>` Concurrent sampling from multiple uniform distributions on the intervals given by *[low,high)* |
| :doc:`mx.symbol.uniform <./mx.symbol.uniform>` Draw random samples from a uniform distribution |
| ================================================================================================================== ================================================================================================================================================== |
| |
| .. toctree:: |
| :titlesonly: |
| :hidden: |
| |
| mx.symbol.random_exponential |
| mx.symbol.random_gamma |
| mx.symbol.random_generalized_negative_binomial |
| mx.symbol.random_negative_binomial |
| mx.symbol.random_normal |
| mx.symbol.random_pdf_dirichlet |
| mx.symbol.random_pdf_exponential |
| mx.symbol.random_pdf_gamma |
| mx.symbol.random_pdf_generalized_negative_binomial |
| mx.symbol.random_pdf_negative_binomial |
| mx.symbol.random_pdf_normal |
| mx.symbol.random_pdf_poisson |
| mx.symbol.random_pdf_uniform |
| mx.symbol.random_poisson |
| mx.symbol.random_randint |
| mx.symbol.random_uniform |
| mx.symbol.sample_exponential |
| mx.symbol.sample_gamma |
| mx.symbol.sample_generalized_negative_binomial |
| mx.symbol.sample_multinomial |
| mx.symbol.sample_negative_binomial |
| mx.symbol.sample_normal |
| mx.symbol.sample_poisson |
| mx.symbol.sample_uniform |
| mx.symbol.uniform |
| |
