Shafaq-Siddiqi commented on a change in pull request #976: URL: https://github.com/apache/systemds/pull/976#discussion_r455786416
########## File path: scripts/builtin/gmm.dml ########## @@ -0,0 +1,418 @@ +#------------------------------------------------------------- +# +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +# +#------------------------------------------------------------- + +# ------------------------------------------ +# Gaussian Mixture Model +# ------------------------------------------ + +# INPUT PARAMETERS: +# --------------------------------------------------------------------------------------------- +# NAME TYPE DEFAULT MEANING +# --------------------------------------------------------------------------------------------- +# X Double --- Matrix X +# n_components Integer 3 Number of n_components in the Gaussian mixture model +# model String "VVV" "VVV": unequal variance (full),each component has its own general covariance matrix +# "EEE": equal variance (tied), all components share the same general covariance matrix +# "VVI": spherical, unequal volume (diag), each component has its own diagonal covariance matrix +# "VII": spherical, equal volume (spherical), each component has its own single variance Review comment: Yes, these are model types and saying GMM-VVV (R format) or GMM with "full" covariance (Python format) is fine. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
