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oryx/app/conf/rdf-regression-example.conf
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# Copyright (c) 2015, Cloudera, Inc. All Rights Reserved. | |
# | |
# Cloudera, Inc. 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 | |
# | |
# This software 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. | |
# A very basic example config file configuring only the essential elements to | |
# run a decision forest-based application. | |
# It's possible to specify reusable values: | |
kafka-brokers = "b03.example.com:9092,b04.example.com:9092" | |
zk-servers = "b01.example.com:2181,b02.example.com:2181" | |
hdfs-base = "hdfs:///user/example/Oryx" | |
oryx { | |
id = "RDFRegressionExample" | |
input-topic { | |
broker = ${kafka-brokers} | |
lock = { | |
master = ${zk-servers} | |
} | |
} | |
update-topic { | |
broker = ${kafka-brokers} | |
lock = { | |
master = ${zk-servers} | |
} | |
} | |
batch { | |
streaming { | |
generation-interval-sec = 300 | |
num-executors = 4 | |
executor-cores = 8 | |
executor-memory = "4g" | |
} | |
update-class = "com.cloudera.oryx.app.batch.mllib.rdf.RDFUpdate" | |
storage { | |
data-dir = ${hdfs-base}"/data/" | |
model-dir = ${hdfs-base}"/model/" | |
} | |
ui { | |
port = 4040 | |
} | |
} | |
speed { | |
model-manager-class = "com.cloudera.oryx.app.speed.rdf.RDFSpeedModelManager" | |
ui { | |
port = 4041 | |
} | |
} | |
serving { | |
model-manager-class = "com.cloudera.oryx.app.serving.rdf.model.RDFServingModelManager" | |
application-resources = "com.cloudera.oryx.app.serving,com.cloudera.oryx.app.serving.classreg,com.cloudera.oryx.app.serving.rdf" | |
api { | |
port = 8080 | |
} | |
} | |
# This depends on the input data; example is an fictional dataset | |
input-schema = { | |
feature-names = ["county", "route", "start", "end", "length", "exposure", "threshold", "rate"] | |
categorical-features = ["county", "route", "threshold"] | |
numeric-features = ["start", "end", "length", "exposure", "rate"] | |
target-feature = "rate" | |
num-features = 8 | |
} | |
# Parameters for rdf; for regression you must specify variance as the impurity measure | |
rdf { | |
hyperparams { | |
"max-depth" = 8 | |
"min-node-size" = 16 | |
"max-split-candidates" = 100 | |
impurity = variance | |
"min-info-gain-nats" = 0.001 | |
} | |
"num-trees" = 20 | |
} | |
} |