diff options
Diffstat (limited to 'model')
| -rw-r--r-- | model/dest_simple_mlp.py | 10 | ||||
| -rw-r--r-- | model/dest_simple_mlp_tgtcls.py | 8 |
2 files changed, 9 insertions, 9 deletions
diff --git a/model/dest_simple_mlp.py b/model/dest_simple_mlp.py index 896f219..f422f11 100644 --- a/model/dest_simple_mlp.py +++ b/model/dest_simple_mlp.py @@ -11,11 +11,11 @@ import error class Model(object): def __init__(self, config): # The input and the targets - x_firstk_latitude = (tensor.matrix('first_k_latitude') - data.porto_center[0]) / data.data_std[0] - x_firstk_longitude = (tensor.matrix('first_k_longitude') - data.porto_center[1]) / data.data_std[1] + x_firstk_latitude = (tensor.matrix('first_k_latitude') - data.train_gps_mean[0]) / data.train_gps_std[0] + x_firstk_longitude = (tensor.matrix('first_k_longitude') - data.train_gps_mean[1]) / data.train_gps_std[1] - x_lastk_latitude = (tensor.matrix('last_k_latitude') - data.porto_center[0]) / data.data_std[0] - x_lastk_longitude = (tensor.matrix('last_k_longitude') - data.porto_center[1]) / data.data_std[1] + x_lastk_latitude = (tensor.matrix('last_k_latitude') - data.train_gps_mean[0]) / data.train_gps_std[0] + x_lastk_longitude = (tensor.matrix('last_k_longitude') - data.train_gps_mean[1]) / data.train_gps_std[1] input_list = [x_firstk_latitude, x_firstk_longitude, x_lastk_latitude, x_lastk_longitude] embed_tables = [] @@ -43,7 +43,7 @@ class Model(object): # Normalize & Center # outputs = theano.printing.Print("normal_outputs")(outputs) - outputs = data.data_std * outputs + data.porto_center + outputs = data.train_gps_std * outputs + data.train_gps_mean # outputs = theano.printing.Print("outputs")(outputs) # y = theano.printing.Print("y")(y) diff --git a/model/dest_simple_mlp_tgtcls.py b/model/dest_simple_mlp_tgtcls.py index d8fdeb3..a7b6f9b 100644 --- a/model/dest_simple_mlp_tgtcls.py +++ b/model/dest_simple_mlp_tgtcls.py @@ -14,11 +14,11 @@ import error class Model(object): def __init__(self, config): # The input and the targets - x_firstk_latitude = (tensor.matrix('first_k_latitude') - data.porto_center[0]) / data.data_std[0] - x_firstk_longitude = (tensor.matrix('first_k_longitude') - data.porto_center[1]) / data.data_std[1] + x_firstk_latitude = (tensor.matrix('first_k_latitude') - data.train_gps_mean[0]) / data.train_gps_std[0] + x_firstk_longitude = (tensor.matrix('first_k_longitude') - data.train_gps_mean[1]) / data.train_gps_std[1] - x_lastk_latitude = (tensor.matrix('last_k_latitude') - data.porto_center[0]) / data.data_std[0] - x_lastk_longitude = (tensor.matrix('last_k_longitude') - data.porto_center[1]) / data.data_std[1] + x_lastk_latitude = (tensor.matrix('last_k_latitude') - data.train_gps_mean[0]) / data.train_gps_std[0] + x_lastk_longitude = (tensor.matrix('last_k_longitude') - data.train_gps_mean[1]) / data.train_gps_std[1] input_list = [x_firstk_latitude, x_firstk_longitude, x_lastk_latitude, x_lastk_longitude] embed_tables = [] |