create model settings reporting

mlair/run_modules/model_setup.py

@@ -5,8 +5,10 @@ __date__ = '2019-12-02'
 
 import logging
 import os
+import re
 
 import keras
+import pandas as pd
 import tensorflow as tf
 
 from mlair.model_modules.keras_extensions import HistoryAdvanced, CallbackHandler
@@ -88,6 +90,9 @@ class ModelSetup(RunEnvironment):
         # compile model
         self.compile_model()
 
+        # report settings
+        self.report_model()
+
     def _set_channels(self):
         """Set channels as number of variables of train generator."""
         channels = self.data_store.get("generator", "train")[0][0].shape[-1]
@@ -147,3 +152,24 @@ class ModelSetup(RunEnvironment):
         with tf.device("/cpu:0"):
             file_name = f"{self.model_name.rsplit('.', 1)[0]}.pdf"
             keras.utils.plot_model(self.model, to_file=file_name, show_shapes=True, show_layer_names=True)
+
+    def report_model(self):
+        model_settings = self.model.get_settings()
+        df = pd.DataFrame(columns=["model setting"])
+        for k,v in model_settings.items():
+            if "<" in str(v):
+                v = self._clean_name(str(v))
+            df.loc[k] = v
+        df.sort_index(inplace=True)
+        column_format = "ll"
+        path = self.data_store.get("model_path")
+        df.to_latex(os.path.join(path, "model_settings.tex"), na_rep='---', column_format=column_format)
+        df.to_markdown(open(os.path.join(path, "model_settings.md"), mode="w", encoding='utf-8'),
+                       tablefmt="github")
+
+    @staticmethod
+    def _clean_name(orig_name: str):
+        mod_name = re.sub(r'^{0}'.format(re.escape("<")), '', orig_name).replace("'", "").split(" ")
+        mod_name = mod_name[1] if "class" in mod_name[0] else mod_name[0]
+        return mod_name[:-1] if mod_name[-1] == ">" else mod_name
+