mseeger commented on issue #9982: Unary ops logcdf_normal, derivlogcdf_normal for log CDF of standard n? URL: https://github.com/apache/incubator-mxnet/pull/9982#issuecomment-371070814 @piiswrong Tensorflow has log_cdf in tf.distributions.Normal, see https://www.tensorflow.org/api_docs/python/tf/distributions/Normal And yes: It is identical with scipy.stats.norm.logcdf. Your comments: - We can call it logcdf, but then it is not clear it is the log CDF of the normal distribution - If f(x) is derivlogcdf, then f(-x) is called hazard function of the normal distribution, so one could call it hazard and implement f(-x) Note: These functions sound obscure, but they serve a large number of use cases in Bayesian ML. Some examples: - Several acquisition functions in Bayesian optimization require them. BO is important for DNNs, to choose hyperparameters. The Amper team is using MXNet more and more - Expectation propagation inference for binary classification requires them, a very popular algorithm (f.ex. the BLIP algorithm used widely at Amazon) OK: How about we move this to contrib? And if nobody except us is using it much, it can stay there. Let me know.
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