Commands model:logistic_regression/new¶
Create a ‘new’ instance of logistic regression model.
POST /v1/commands/¶
GET /v1/commands/:id¶
Request¶
Route
POST /v1/commands/
Body
| name: | model:logistic_regression/new |
|---|---|
| arguments: | dummy_model_ref : Model
name : unicode (default=None)
|
Headers
Authorization: test_api_key_1
Content-type: application/json
Description
Logistic Regression [1] is a widely used supervised binary and multi-class classification algorithm. The Logistic Regression model is initialized, trained on columns of a frame, predicts the labels of observations, and tests the predicted labels against the true labels. This model runs the MLLib implementation of Logistic Regression [2], with enhanced features — trained model summary statistics; Covariance and Hessian matrices; ability to specify the frequency of the train and test observations. Testing performance can be viewed via built-in binary and multi-class Classification Metrics. It also allows the user to select the optimizer to be used - L-BFGS [3] or SGD [4].
footnotes
| [1] | https://en.wikipedia.org/wiki/Logistic_regression |
| [2] | https://spark.apache.org/docs/1.5.0/mllib-linear-methods.html#logistic-regression |
| [3] | https://en.wikipedia.org/wiki/Limited-memory_BFGS |
| [4] | https://en.wikipedia.org/wiki/Stochastic_gradient_descent |
Response¶
Status
200 OK
Body
Returns information about the command. See the Response Body for Get Command here below. It is the same.