Python get_data Examples

Example #1

File: rf_vs_bag2.py Project: jerryxyx/Python

from sklearn.ensemble import RandomForestRegressor, BaggingRegressor, RandomForestClassifier, BaggingClassifier
from util import BaggedTreeRegressor, BaggedTreeClassifier

# make simple regression data
# N = 15
# D = 100
# X = (np.random.random((N, D)) - 0.5)*10
# Y = X.sum(axis=1)**2 + 0.5*np.random.randn(N)
# Ntrain = N/2
# Xtrain = X[:Ntrain]
# Ytrain = Y[:Ntrain]
# Xtest = X[Ntrain:]
# Ytest = Y[Ntrain:]

from rf_classification import get_data
X, Y = get_data()
Ntrain = int(0.8*len(X))
Xtrain, Ytrain = X[:Ntrain], Y[:Ntrain]
Xtest, Ytest = X[Ntrain:], Y[Ntrain:]

# from rf_regression import get_data
# Xtrain, Ytrain, Xtest, Ytest = get_data()

class NotAsRandomForest:
  def __init__(self, n_estimators):
    self.B = n_estimators

  def fit(self, X, Y, M=None):
    N, D = X.shape
    if M is None:
      M = int(np.sqrt(D))

Example #2

File: rf_vs_bag2.py Project: ShuvenduBikash/machine_learning_examples

from sklearn.ensemble import RandomForestRegressor, BaggingRegressor, RandomForestClassifier, BaggingClassifier
from util import BaggedTreeRegressor, BaggedTreeClassifier

# make simple regression data
# N = 15
# D = 100
# X = (np.random.random((N, D)) - 0.5)*10
# Y = X.sum(axis=1)**2 + 0.5*np.random.randn(N)
# Ntrain = N/2
# Xtrain = X[:Ntrain]
# Ytrain = Y[:Ntrain]
# Xtest = X[Ntrain:]
# Ytest = Y[Ntrain:]

from rf_classification import get_data
X, Y = get_data()
Ntrain = int(0.8*len(X))
Xtrain, Ytrain = X[:Ntrain], Y[:Ntrain]
Xtest, Ytest = X[Ntrain:], Y[Ntrain:]

# from rf_regression import get_data
# Xtrain, Ytrain, Xtest, Ytest = get_data()

class NotAsRandomForest:
  def __init__(self, n_estimators):
    self.B = n_estimators

  def fit(self, X, Y, M=None):
    N, D = X.shape
    if M is None:
      M = int(np.sqrt(D))