initial planet nb

fastai · Sep 11, 2017 · 53a416d · 53a416d
1 parent 2ae29b3
commit 53a416d
Show file tree

Hide file tree

Showing 6 changed files with 1,032 additions and 2,051 deletions.
diff --git a/courses/dl1/lesson1.ipynb b/courses/dl1/lesson1.ipynb
diff --git a/courses/dl1/lesson2-image_models.ipynb b/courses/dl1/lesson2-image_models.ipynb
diff --git a/courses/dl1/planet.py b/courses/dl1/planet.py
@@ -1,11 +1,14 @@
-from imports import *
-from fast_gen import *
-from dataset_pt import *
+from fastai.imports import *
+from fastai.transforms import *
+from fastai.dataset import *
 from sklearn.metrics import fbeta_score
+import warnings
 
 def f2(preds, targs, start=0.17, end=0.24, step=0.01):
-    return max([fbeta_score(targs, (preds>th), 2, average='samples')
-                for th in np.arange(start,end,step)])
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore")
+        return max([fbeta_score(targs, (preds>th), 2, average='samples')
+                    for th in np.arange(start,end,step)])
 
 def opt_th(preds, targs, start=0.17, end=0.24, step=0.01):
     ths = np.arange(start,end,step)
@@ -17,7 +20,7 @@ def get_data(path, tfms,bs,  n, cv_idx):
     val_idxs = get_cv_idxs(n, cv_idx)
     return ImageClassifierData.from_csv(path, 'train-jpg', f'{path}train_v2.csv', bs, tfms,
                                  suffix='.jpg', val_idxs=val_idxs, test_name='test-jpg')
-    
+
 def get_data_zoom(f_model, path, sz, bs, n, cv_idx):
     tfms = tfms_from_model(f_model, sz, aug_tfms=transforms_top_down, max_zoom=1.05)
     return get_data(path, tfms, bs, n, cv_idx)