Merge branch 'master' of https://github.com/raspstephan/CBRAIN-CAM

nn_config/D040_fbp_engy_ess_ref_fullyear_ref_longtrain_big_fluxes2.yml

@@ -0,0 +1,15 @@
+exp_name: D0340_fbp_engy_ess_ref_fullyear_ref_big_fluxes2
+data_dir: /local/S.Rasp/preprocessed_data/
+train_fn: fbp_engy_ess_ref_train_fullyear_shuffle
+valid_fn: fbp_engy_ess_valid_sample1
+norm_fn: fbp_engy_ess_ref_train_sample1_norm_big_fluxes2.nc
+fsub: feature_means
+fdiv: max_rs
+tmult: target_conv
+activation: LeakyReLU
+hidden_layers: [256,256,256,256,256,256,256,256,256]
+loss: mse
+log_dir: ./logs/
+epochs: 18
+lr_step: 3
+valid_after: True

notebooks/dev/change-normalization-file.ipynb

@@ -192,25 +192,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
-    "norm['target_conv'][-5:-1] /= 5"
+    "norm['target_conv'][-5:-1] *= 5"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
-    "norm['target_conv'][-1] /= 5"
+    "norm['target_conv'][-1] *= 5"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -219,13 +219,13 @@
        "<BarContainer object of 65 artists>"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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y1ST3JZnu2sb+NQOQ5AVJbknyb93r/nWTUvuwZRX6PZeMGCd/xWB5imGbgDuqah1wR7c/jg4Bf1BVZwKvBd7R/VtPQv1PAb9aVa8EzgY2JHktg+VDPtTV/iSD5UXG1TuBh4b2J6n2X6mqs4dud5yE1wwM1h/756r6ReCVDP79J6X2H6uqZfMAXgfsHNq/Frh2qeuap+Y1wAND+3uAF3XbLwL2LHWNPX+OfwIunLT6gZ8GvszgU+bfAE6Y67U0Tg8Gn3e5A/hV4DNAJqj2/cCps9rG/jUD/CzwNbrroJNU++zHshrpM/eSEZO27MPPV9XXAbqvP7fE9cwryRrgHOCLTEj93fTIfcDjwO3AI8C3qupQ12WcXzsfBv4IeKbbfyGTU3sB/5Lknu6T+DAZr5kzgCeAv+ym1T6W5LlMRu2HWW6hnznavD3pGEryPOBW4Per6jtLXU9fVfV0VZ3NYNS8Hjhzrm7Ht6r5Jfl14PGqume4eY6uY1d757yqehWDKdh3JDl/qQvq6QTgVcBfVNU5wP8wCVM5c1huod9r2Ycx999JXgTQfX18ies5oiQ/ySDw/6aq/qFrnpj6AarqW8DnGFyXeEG3jAiM72vnPOCSJPuBbQymeD7MZNROVR3ovj4O/CODN9xJeM3MADNV9cVu/xYGbwKTUPthllvo91kyYtwNL2lxFYO58rHTLZ19M/BQVf3Z0KGxrz/JyiQv6LZ/CriAwUW5uxgsIwJjWntVXVtVq6pqDYPX951V9ZtMQO1JnpvkZ364DVwEPMAEvGaq6r+Ax5K8tGv6NQYrDYx97f/PUl9UOAYXXN4E/DuDOdp3L3U989T6d8DXgf9lMJK4msH87B3Aw93XU5a6ziPU/ksMphDuB+7rHm+ahPqBVwD3drU/AFzXtZ/BYG2ovcCngJOWutZ5fo5fBj4zKbV3NX6le+z+4e/nJLxmujrPBqa7182ngZMnpfbhh5/IlaSGLLfpHUnSszD0Jakhhr4kNcTQl6SGGPqS1BBDX5IaYuhLUkMMfUlqyP8Bn/fUcXHJT4sAAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -240,16 +240,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
-    "norm.to_netcdf('/local/S.Rasp/preprocessed_data/fbp_engy_ess_ref_train_sample1_norm_small_fluxes2.nc')"
+    "norm.to_netcdf('/local/S.Rasp/preprocessed_data/fbp_engy_ess_ref_train_sample1_norm_big_fluxes2.nc')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [