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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [

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#!/usr/bin/env python
"""
==============================================================
Grid Search over multiple Pipeline Configurations & Estimators
==============================================================

This example constructs a pipeline that does an optional prescaling step,
then dimensionality reduction followed by prediction with a decision tree
ensemble. It demonstrates the use of GridSearchCV and Pipeline to optimize
over different classes of estimators in a single CV run -- Gradient Boosted

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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [

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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [

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