A python script that causes deadlocks in ipython

dead_lock.py

import sklearn as sk
import numpy as np
import pandas as pd
import scipy as scipy
import cPickle as pickle
import math

from collections import Counter
from sklearn.cross_validation import train_test_split
from sklearn.cross_validation import cross_val_score
from sklearn.cross_validation import ShuffleSplit
from scipy.stats import sem 
from scipy.stats.mstats import mode
from sklearn.grid_search import GridSearchCV
from sklearn.ensemble import RandomForestClassifier

def do_gs(model, params, n_samples=1000, cv=3, n_jobs=-1):
  gs = GridSearchCV(model, params, cv=cv, n_jobs=n_jobs, verbose=2) 
  gs.fit(X_train[:n_samples], y_train[:n_samples])
  print(gs.best_params_, gs.best_score_)
  return gs
  
f = open( "../data/all_data.p", "rb" )
data = pickle.load(f)
f.close()

seed = 0
X_train = data['train_munged'];
y_train = data['y'];
%del data
print "Loaded train[" + `len(X_train)` + "]"

data = { 'min_samples_leaf': [1, 2, 3, 4, 5], 'min_samples_split': [4, 5, 6], 
  'max_depth': [21, 22, 23, 24], 'max_features': [36, 37, 38, 39, 40], 
  'n_estimators': [470, 475, 480] }
gs = do_gs(RandomForestClassifier(random_state=seed, n_jobs=1), 
  data, cv=3, n_samples=2500, n_jobs=30)