-
Notifications
You must be signed in to change notification settings - Fork 363
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
[SW-2554] Expose Blending Frame on H2OAutoML (#2513)
Address Sebastian's comments (cherry picked from commit 7e0eb21a85c6e7d1318738f6a594212e5f9ec16e) (cherry picked from commit af3172e)
- Loading branch information
Showing
5 changed files
with
141 additions
and
14 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
60 changes: 60 additions & 0 deletions
60
ml/src/main/scala/ai/h2o/sparkling/ml/params/HasBlendingDataFrame.scala
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,60 @@ | ||
/* | ||
* 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. | ||
*/ | ||
|
||
package ai.h2o.sparkling.ml.params | ||
|
||
import ai.h2o.sparkling.H2OFrame | ||
import org.apache.spark.expose.Logging | ||
import org.apache.spark.sql.DataFrame | ||
|
||
trait HasBlendingDataFrame extends H2OAlgoParamsBase with Logging { | ||
val uid: String | ||
|
||
private val blendingDataFrame = new NullableBigDataFrameParam( | ||
this, | ||
"blendingDataFrame", | ||
"""This parameter is used for computing the predictions that serve as the training frame for the meta-learner. | ||
|If provided, this triggers blending mode on the stacked ensemble training stage. Blending mode is faster | ||
|than cross-validating the base learners (though these ensembles may not perform as well as the Super Learner | ||
|ensemble).""".stripMargin) | ||
|
||
setDefault(blendingDataFrame -> null) | ||
|
||
def getBlendingDataFrame(): DataFrame = $(blendingDataFrame) | ||
|
||
def setBlendingDataFrame(value: DataFrame): this.type = set(blendingDataFrame, value) | ||
|
||
override private[ml] def getParameterDeserializationOverrides(): Map[String, Any => Any] = { | ||
super.getParameterDeserializationOverrides() + ("blendingDataFrame", | ||
(input: Any) => { | ||
if (input != null) { | ||
logWarning( | ||
s"A pipeline stage with uid '$uid' contained the 'blendingDataFrame' property " + | ||
"with a non-null value. The property was reset to null during the pipeline deserialization.") | ||
} | ||
null | ||
}) | ||
} | ||
|
||
private[sparkling] def getBlendingDataFrameParam(trainingFrame: H2OFrame): Map[String, Any] = { | ||
Map("blending_frame" -> convertDataFrameToH2OFrameKey(getBlendingDataFrame())) | ||
} | ||
|
||
override private[sparkling] def getSWtoH2OParamNameMap(): Map[String, String] = { | ||
super.getSWtoH2OParamNameMap() ++ Map("blendingDataFrame" -> "blending_frame") | ||
} | ||
} |
36 changes: 36 additions & 0 deletions
36
py-scoring/src/ai/h2o/sparkling/ml/params/HasBlendingDataFrame.py
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,36 @@ | ||
# | ||
# 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. | ||
# | ||
|
||
from ai.h2o.sparkling.ml.params.H2OTypeConverters import H2OTypeConverters | ||
from pyspark.ml.param import * | ||
|
||
|
||
class HasBlendingDataFrame(Params): | ||
blendingDataFrame = Param( | ||
Params._dummy(), | ||
"blendingDataFrame", | ||
"This parameter is used for computing the predictions that serve as the training frame for the meta-learner. " | ||
"If provided, this triggers blending mode on the stacked ensemble training stage. Blending mode is faster " | ||
"than cross-validating the base learners (though these ensembles may not perform as well as the Super Learner " | ||
"ensemble).", | ||
H2OTypeConverters.toNullableDataFrame()) | ||
|
||
def getBlendingDataFrame(self): | ||
return self.getOrDefault(self.blendingDataFrame) | ||
|
||
def setBlendingDataFrame(self, value): | ||
return self._set(blendingDataFrame=value) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters