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https://issues.apache.org/jira/browse/MAHOUT-2136?focusedWorklogId=542564&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-542564
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ASF GitHub Bot logged work on MAHOUT-2136:
------------------------------------------
Author: ASF GitHub Bot
Created on: 27/Jan/21 01:47
Start Date: 27/Jan/21 01:47
Worklog Time Spent: 10m
Work Description: josehernandezsc commented on a change in pull request
#413:
URL: https://github.com/apache/mahout/pull/413#discussion_r564966395
##########
File path: docker/getting-started/interpreter.json
##########
@@ -1,3 +1,20 @@
+#
+# 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.
+#
Review comment:
I should have misplaced the comments in the interpreter.json file. I'm
taking care of it.
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Issue Time Tracking
-------------------
Worklog Id: (was: 542564)
Remaining Estimate: 334h 40m (was: 334h 50m)
Time Spent: 1h 20m (was: 1h 10m)
> Implement Ridge Regression Algorithm
> ------------------------------------
>
> Key: MAHOUT-2136
> URL: https://issues.apache.org/jira/browse/MAHOUT-2136
> Project: Mahout
> Issue Type: Improvement
> Reporter: Jose Francisco Hernandez Santa Cruz
> Assignee: Jose Francisco Hernandez Santa Cruz
> Priority: Minor
> Original Estimate: 336h
> Time Spent: 1h 20m
> Remaining Estimate: 334h 40m
>
> Ridge regression is a regularized approach of the linear regression by OLS
> method. Non-full rank matrices are allowed as the regularization parameter
> adds a diagonal matrix to the optimization equation breaking collinearity by
> adding a bias component, thus reducing standard error.
>
> https://en.wikipedia.org/wiki/Tikhonov_regularization
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