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Merged
henry-wallace-phys merged 5 commits into from
Dec 2, 2024
Merged

Hwallace/patches/path fix #29

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55d1aac
Update tf_autotune_interface.py
henry-wallace-phys Dec 2, 2024
d02dfbc
Update tf_interface.py
henry-wallace-phys Dec 2, 2024
ec8ad74
Update tf_manual_interface.py
henry-wallace-phys Dec 2, 2024
0eca8b5
Update tf_normalizing_flow_model.py
henry-wallace-phys Dec 2, 2024
6f329d1
Update __init__.py
henry-wallace-phys Dec 2, 2024
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2 changes: 1 addition & 1 deletion src/MaCh3PythonUtils/__init__.py
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Original file line number Diff line number Diff line change
@@ -1,2 +1,2 @@
__version__="2.0.0"
__version__="2.0.1"
__author__="Henry Wallace"
4 changes: 2 additions & 2 deletions src/MaCh3PythonUtils/machine_learning/tensorflow/tf_autotune_interface.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
from MaCh3PythonUtils.machine_learning.tf_interface import TfInterface
from MaCh3PythonUtils.machine_learning.tensorflow.tf_interface import TfInterface
import tensorflow as tf
import pandas as pd
import numpy as np
Expand Down Expand Up @@ -101,4 +101,4 @@ def train_model(self):

self._model = self._model_tuner.hypermodel.build(best_hps)

self._model.fit(scaled_data, scaled_labels, epochs=self._epochs, batch_size=self._batch_size , validation_split=0.2, callbacks=[stop_early, lr_schedule])
self._model.fit(scaled_data, scaled_labels, epochs=self._epochs, batch_size=self._batch_size , validation_split=0.2, callbacks=[stop_early, lr_schedule])
4 changes: 2 additions & 2 deletions src/MaCh3PythonUtils/machine_learning/tensorflow/tf_interface.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
# Let's make a tensor flow interface!
from MaCh3PythonUtils.machine_learning.file_ml_interface import FileMLInterface
from MaCh3PythonUtils.machine_learning.tensorflow.file_ml_interface import FileMLInterface
import tensorflow as tf
import pandas as pd
import numpy as np
Expand Down Expand Up @@ -100,4 +100,4 @@ def model_predict(self, test_data: pd.DataFrame):

def model_predict_no_scale(self, test_data):
# Same as above but specifically for TF, optimised to avoid if statement...
return self._model(test_data, training=False)
return self._model(test_data, training=False)
2 changes: 1 addition & 1 deletion src/MaCh3PythonUtils/machine_learning/tensorflow/tf_manual_interface.py
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@@ -1,4 +1,4 @@
from MaCh3PythonUtils.machine_learning.tf_interface import TfInterface
from MaCh3PythonUtils.machine_learning.tensorflow..tf_interface import TfInterface
import tensorflow as tf
import pandas as pd
import numpy as np
Expand Down
2 changes: 1 addition & 1 deletion src/MaCh3PythonUtils/machine_learning/tensorflow/tf_normalizing_flow_model.py
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@@ -1,4 +1,4 @@
from MaCh3PythonUtils.machine_learning.tf_manual_interface import TfManualInterface
from MaCh3PythonUtils.machine_learning.tensorflow.tf_manual_interface import TfManualInterface

import tensorflow_probability as tfp
import tensorflow.keras as tfk
Expand Down