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autoencoderGeneralized.dml
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57 lines (52 loc) · 1.8 KB
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#-------------------------------------------------------------
#
# 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.
#
#-------------------------------------------------------------
source("scripts/builtin/autoencoder_2layer.dml") as ae
X = read($X)
hidden_layers = list(as.integer($H1))
if(as.integer($H2) > 0)
hidden_layers = append(hidden_layers, list(as.integer($H2)))
if(as.integer($H3) > 0)
hidden_layers = append(hidden_layers, list(as.integer($H3)))
[model, hidden] = ae::m_autoencoder(
X=X,
hidden_layers=hidden_layers,
max_epochs=as.integer($EPOCH),
batch_size=as.integer($BATCH),
step=as.double($STEP),
decay=as.double($DECAY),
mu=as.double($MOMENTUM),
method=$METHOD,
mode=$MODE,
utype=$UTYPE,
freq=$FREQ,
k=as.integer($WORKERS),
scheme=$SCHEME,
nbatches=as.integer($NBATCHES),
modelAvg=as.boolean($MODELAVG)
)
encoder_layers = length(hidden_layers)
layer_count = 2 * encoder_layers
W1_out = as.matrix(model[1])
Wlast_out = as.matrix(model[layer_count])
hidden_out = hidden
write(W1_out, $W1_out)
write(Wlast_out, $Wlast_out)
write(hidden_out, $hidden_out)