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Mar 20, 2018
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Update README #65

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16 changes: 8 additions & 8 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -167,7 +167,6 @@ The training and test data is available at [dragnet_data](https://github.com/seo
and the CETR features from Weninger et al.:

```python
from dragnet.blocks import TagCountNoCSSReadabilityBlockifier
from dragnet.extractor import Extractor
from dragnet.model_training import train_model
from sklearn.ensemble import ExtraTreesClassifier
Expand All @@ -176,14 +175,14 @@ The training and test data is available at [dragnet_data](https://github.com/seo

features = ['kohlschuetter', 'weninger', 'readability']

to_extract = 'both' # or 'content'
to_extract = ['content', 'comments'] # or ['content']

model = ExtraTreesClassifier(
n_estimators=10,
max_features=None,
min_samples_leaf=75
)
base_extractor = Extractor(TagCountNoCSSReadabilityBlockifier,
base_extractor = Extractor(
features=features,
to_extract=to_extract,
model=model
Expand Down Expand Up @@ -216,11 +215,12 @@ rootdir = '/path/to/dragnet_data/'
data = prepare_all_data(rootdir)
training_data, test_data = train_test_split(data, test_size=0.2, random_state=42)

test_blocks, test_labels, test_weights = extractor.concatenate_data(test_data)
train_blocks, train_labels, train_weights = extractor.concatenate_data(training_data)
test_html, test_labels, test_weights = extractor.get_html_labels_weights(test_data)
train_html, train_labels, train_weights = extractor.get_html_labels_weights(training_data)

extractor.fit(train_blocks, train_labels, weights=train_weights)
predictions = extractor.predict(test_blocks)
scores = evaluate_model_predictions(test_labels, predictions)
extractor.fit(train_html, train_labels, weights=train_weights)
predictions = extractor.predict(test_html)
scores = evaluate_model_predictions(test_labels, predictions, test_weights)
```

Note that this is the same evaluation that is run/printed in `train_model`