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minor doc updates

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This commit is contained in:
Andy Eschbacher
2016-06-27 08:54:28 -04:00
parent de7d56dc29
commit a177bf5620
1 changed files with 3 additions and 3 deletions
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6
doc/12_segmentation.md
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@@ -1,7 +1,7 @@
## Segmentation Functions
### CDB_CreateAndPredictSegment (query TEXT, variable_name TEXT, target_query TEXT)
### CDB_CreateAndPredictSegment(query TEXT, variable_name TEXT, target_query TEXT)
This function trains a [Gradient Boosting](http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html) model to attempt to predict the target data and then generates predictions for new data.
@@ -57,7 +57,7 @@ A table with the following columns.
| Column Name | Type | Description |
|-------------|------|-------------|
| cartodb\_id | INTEGER | The CartoDB id of the row in the target\_query|
| cartodb\_id | INTEGER | The CartoDB id of the row in the target\_query |
| prediction | NUMERIC | The predicted value of the variable of interest |
| accuracy | NUMERIC | The mean squared accuracy of the model. |
| n\_estimators (optional) | INTEGER DEFAULT 1200 | Number of estimators to be used |
@@ -77,6 +77,6 @@ target AS (
SELECT cdb_crankshaft.CDB_PyAgg(Array[median_rent, male_pop, female_pop]::Numeric[]) As features,
array_agg(cartodb_id) As cartodb_ids FROM late_night_agg)
SELECT cdb_crankshaft.CDB_CreateAndPredictSegment2(training.target, training.features, target.features, target.cartodb_ids)
SELECT cdb_crankshaft.CDB_CreateAndPredictSegment(training.target, training.features, target.features, target.cartodb_ids)
FROM training, target;
```