提交 3403c006 编写于 作者: Y Yu Yang

tiny fixes

上级 a74f5365
......@@ -34,11 +34,11 @@ def initHook(settings, file_list, **kwargs):
settings.pool_size = sys.maxint
#Use a time seires of the past as feature.
#Dense_vector's expression form is [float,float,...,float]
settings.slots = [dense_vector(TERM_NUM)]
settings.input_types = [dense_vector(TERM_NUM)]
#There are next FORECASTING_NUM fragments you need predict.
#Every predicted condition at time point has four states.
for i in range(FORECASTING_NUM):
settings.slots.append(integer_value(LABEL_VALUE_NUM))
settings.input_types.append(integer_value(LABEL_VALUE_NUM))
@provider(
......@@ -57,7 +57,7 @@ def process(settings, file_name):
pre_spd = map(float, speeds[i - TERM_NUM:i])
# Integer value need predicting, values start from 0, so every one minus 1.
fol_spd = [i - 1 for i in speeds[i:i + FORECASTING_NUM]]
fol_spd = [j - 1 for j in speeds[i:i + FORECASTING_NUM]]
# Predicting label is missing, abandon the sample.
if -1 in fol_spd:
......@@ -67,7 +67,7 @@ def process(settings, file_name):
def predict_initHook(settings, file_list, **kwargs):
settings.pool_size = sys.maxint
settings.slots = [dense_vector(TERM_NUM)]
settings.input_types = [dense_vector(TERM_NUM)]
@provider(init_hook=predict_initHook, should_shuffle=False)
......
# Copyright (c) 2016 Baidu, Inc. All Rights Reserved
#
# Licensed 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.
res = []
with open('./rank-00000') as f:
for line in f:
......
#!/usr/bin/env/python
#-*python-*-
# Copyright (c) 2016 Baidu, Inc. All Rights Reserved
#
# Licensed 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 paddle.trainer_config_helpers import *
################################### DATA Configuration #############################################
......
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