Александр Романов commited on
Commit
bab4655
·
1 Parent(s): a2d8cbd

Revert model

Browse files
app.py CHANGED
@@ -8,16 +8,17 @@ import keras
8
  from keras.models import Sequential
9
  from keras.layers import Dense
10
 
11
- input_len = 43
12
  output_len = 2
13
  model = Sequential()
14
- model.add(Dense(input_len * 8, input_dim=input_len, activation='tanh', bias_initializer='zeros', name='Input_layer'))
15
- model.add(Dense(input_len * 8, activation='tanh', bias_initializer='zeros', name='Layer1'))
16
- model.add(Dense(output_len, activation='sigmoid', bias_initializer='zeros', name='Output'))
 
17
  model_checkpoint_path = os.path.join('model', 'biofilms_model_checkpoint')
18
  model.load_weights(model_checkpoint_path)
19
 
20
- materials_labels = ["фтор", "графен", "Si/SiO2: 2 - нано Si", "Al/Al(OH)3", "Li", "Ti/TiO2", "Pb", "ZrO2", "Co", "V", "Fe/FeOn: 2 - ферралит", "Cu", "Ag", "Cr", "Zn", "ZnS", "Mn", "Ca", "Mg", "Na", "K", "NH4/NO2", "CO2 atm", "солонец", "Muscovite", "Mont-t", "Kaolinite", "Chlorite", "Fillite", "Clinochlor", "Calcite", "Dolomite", "Barite", "Gypsum"]
21
  sharpness_values = ["волнистая", "пористая", "дисперсная", "грубодисперсная"]
22
 
23
  def get_sample_dat(sample):
 
8
  from keras.models import Sequential
9
  from keras.layers import Dense
10
 
11
+ input_len = 34
12
  output_len = 2
13
  model = Sequential()
14
+ model.add(Dense(input_len * 8, input_dim=input_len, activation='tanh', bias_initializer='zeros'))
15
+ model.add(Dense(input_len * 8, activation='tanh', bias_initializer='zeros'))
16
+ model.add(Dense(input_len * 8, activation='tanh', bias_initializer='zeros'))
17
+ model.add(Dense(output_len, activation='sigmoid', bias_initializer='zeros'))
18
  model_checkpoint_path = os.path.join('model', 'biofilms_model_checkpoint')
19
  model.load_weights(model_checkpoint_path)
20
 
21
+ materials_labels = ["Графен", "Si/SiO2", "Al(OH)3", "TiO2", "Co", "V", "Fe/FeOn", "Cu", "Ag", "Cr", "Zn", "ZnS", "Mn", "Ca", "Mg", "Na", "NH4", "Muscovite", "Mont-t", "Kaolinite", "Chlorite", "Fillite", "Clinochlor", "Calcite", "Dolomite", "Barite", "Gypsum"]
22
  sharpness_values = ["волнистая", "пористая", "дисперсная", "грубодисперсная"]
23
 
24
  def get_sample_dat(sample):
model/biofilms_model.keras ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8be7746dc42e1ae3c9f64bbe71c412e29324feea076ed46129293f0f9d2ba81d
3
+ size 1934000
model/biofilms_model_checkpoint.data-00000-of-00001 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:787fb3f261c940e1a6f9080a4c52cf55de88b03506ca645f5be3dba8a7d451b5
3
- size 1616609
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5e31dbd11994694ee0b5fd5f170431f44b5640a267ccab321059bdefa235876
3
+ size 1906157
model/biofilms_model_checkpoint.index CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4e44ecf43823cd74aa3aa88db76da92530d648b37c66b149be0c619a8f44fbea
3
- size 1329
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:52d7257721f6f2bf7cf41988a9ffb010bb0f4b34d7862f6680e1977d9dc75b1a
3
+ size 1670
model/checkpoint ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ model_checkpoint_path: "biofilms_model_checkpoint"
2
+ all_model_checkpoint_paths: "biofilms_model_checkpoint"