Removals: distributions from daal4py (#3022)

Author: Alexandr-Solovev

doc/sources/daal4py.rst

@@ -726,49 +726,6 @@ philox4x32x10
 .. autoclass:: daal4py.engines_philox4x32x10_result
    :members:
 
-Distributions
-*************
-Parameters and semantics are described in :external+onedal:doc:`daal/algorithms/distributions/index`.
-
-Bernoulli
-"""""""""
-Parameters and semantics are described in :external+onedal:doc:`daal/algorithms/distributions/bernoulli`.
-
-.. rubric:: Examples:
-
-- `Single-Process Bernoulli Distribution <https://github.com/uxlfoundation/scikit-learn-intelex/tree/main/examples/daal4py/distributions_bernoulli.py>`__
-
-.. autoclass:: daal4py.distributions_bernoulli
-   :members: compute
-.. autoclass:: daal4py.distributions_bernoulli_result
-   :members:
-
-Normal
-""""""
-Parameters and semantics are described in :external+onedal:doc:`daal/algorithms/distributions/normal`.
-
-.. rubric:: Examples:
-
-- `Single-Process Normal Distribution <https://github.com/uxlfoundation/scikit-learn-intelex/tree/main/examples/daal4py/distributions_normal.py>`__
-
-.. autoclass:: daal4py.distributions_normal
-   :members: compute
-.. autoclass:: daal4py.distributions_normal_result
-   :members:
-
-Uniform
-"""""""
-Parameters and semantics are described in :external+onedal:doc:`daal/algorithms/distributions/uniform`.
-
-.. rubric:: Examples:
-
-- `Single-Process Uniform Distribution <https://github.com/uxlfoundation/scikit-learn-intelex/tree/main/examples/daal4py/distributions_uniform.py>`__
-
-.. autoclass:: daal4py.distributions_uniform
-   :members: compute
-.. autoclass:: daal4py.distributions_uniform_result
-   :members:
-
 .. Note: oneDAL's doc do not have any named object referencing these specific sections,
 .. hence the need for this workaround.
 .. |onedal-dg-k-means-computation| replace:: |onedal| K-Means Computation

examples/daal4py/distributions_bernoulli.py

@@ -56,6 +56,9 @@ def wrap_algo(algo, ver):
             "algorithms::decision_tree::regression",
             "algorithms::decision_tree::regression::prediction",
             "algorithms::decision_tree::regression::training",
+            "algorithms::distributions::bernoulli",
+            "algorithms::distributions::normal",
+            "algorithms::distributions::uniform",
             "algorithms::multinomial_naive_bayes",
             "algorithms::multinomial_naive_bayes::prediction",
             "algorithms::multinomial_naive_bayes::training",
@@ -100,7 +103,6 @@ def wrap_algo(algo, ver):
 # Note: even though listed under 'Batch', they are currently also used for 'Distributed'
 #  unless explicitly provided in a step spec.
 required = {
-    "algorithms::distributions::bernoulli": [("p", "double")],
     "algorithms::em_gmm": [("nComponents", "size_t")],
     "algorithms::em_gmm::init": [("nComponents", "size_t")],
     "algorithms::kmeans": [("nClusters", "size_t"), ("maxIterations", "size_t")],