blob: d7dfba4759d7f51014155aab53a9e858e9321f02 [file]
#-------------------------------------------------------------
#
# 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.
#
#-------------------------------------------------------------
X = read($1);
if ($5 == "default") {
[Y, lambdas, means, scales] = powerTransform(X=X);
standardize = TRUE;
}
else {
standardize = as.boolean($6);
[Y, lambdas, means, scales] = powerTransform(
X=X,
method=$5,
standardize=standardize
);
}
if (standardize) {
state = rbind(means, scales);
}
else {
assert(nrow(means) == 0 & ncol(means) == 0);
assert(nrow(scales) == 0 & ncol(scales) == 0);
state = matrix(0.0, rows=2, cols=ncol(X));
}
write(Y, $2);
write(lambdas, $3);
write(state, $4);