One more update

BeckResearchLab · Oct 25, 2018 · 5675074 · 5675074
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diff --git a/model_create/Results1.txt b/model_create/Results1.txt
@@ -0,0 +1,2 @@
+For this combination [['tanh', 5], ['tanh', 5], 'tanh'], R is 0.68
+The best_R for now is 0.6821 and the combination is [['tanh', 5], ['tanh', 5], 'tanh'] in 58.34 seconds
diff --git a/model_create/__pycache__/opfit.cpython-36.pyc b/model_create/__pycache__/opfit.cpython-36.pyc
diff --git a/model_create/collection1/intermediate_output1/weights-10-0.51.hdf5 b/model_create/collection1/intermediate_output1/weights-10-0.51.hdf5
diff --git a/model_create/collection1/intermediate_output1/weights-20-0.54.hdf5 b/model_create/collection1/intermediate_output1/weights-20-0.54.hdf5
diff --git a/model_create/latest.json b/model_create/latest.json
@@ -0,0 +1 @@
+{"layer_number": 1, "starting_n": 1, "best_R": 0.6820897249614492, "best_param": [["tanh", 5], ["tanh", 5], "tanh"], "cumulative_time": 58.341623306274414}
diff --git a/model_create/opfit.py b/model_create/opfit.py
@@ -17,7 +17,7 @@ def read_file(filename, X_var, Y_var):
  The function takes name of datafile, list of predictors and response
  it returns array_like X and Y for data fitting
  """
- location = os.path.abspath(filename)
+ location = os.path.abspath('./data/%s/'%filename)
  df = pd.read_csv('%s'%location,sep='\t')
  X = np.array(df[X_var].values)
  Y = np.array(df[Y_var].values)