Vu Pham phvu
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| x = np.arange(-10, 10, 0.01) | |
| alpha = 1.6733 | |
| l = 1.0507 | |
| y = l*((x > 0)*x + (x <= 0)*(alpha * np.exp(x) - alpha)) | |
| plt.rc('text', usetex=True) | |
| plt.rc('font', family='serif') |
phvu
/ pg-pong.py
Created
April 8, 2017 11:18
— forked from karpathy/pg-pong.py
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
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| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
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| def get_redis_uri(): | |
| if 'VCAP_SERVICES' not in os.environ: | |
| return os.getenv('REDIS_HOST', ''), int(os.getenv('REDIS_PORT', '6379')), os.getenv('REDIS_PASSWORD', '') | |
| services = json.loads(os.getenv('VCAP_SERVICES')) | |
| if 'redis' not in services: | |
| # when redis isn't available. | |
| return '', 0, '' | |
| redis_env = services['redis'][0]['credentials'] |
phvu
/ tf_sample_ddf.py
Created
May 13, 2016 08:00
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| from __future__ import print_function | |
| from __future__ import unicode_literals | |
| from multiprocessing import Process, Queue | |
| import six | |
| import numpy as np | |
| import tensorflow as tf | |
| import arimo |
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| 46647746 [qtp243803905-157] WARN org.eclipse.jetty.servlet.ServletHandler - Error for /command/DropNA | |
| java.lang.StackOverflowError | |
| at org.apache.spark.sql.hive.HiveQl$.nodeToExpr(HiveQl.scala:1528) | |
| at org.apache.spark.sql.hive.HiveQl$.nodeToExpr(HiveQl.scala:1427) | |
| at org.apache.spark.sql.hive.HiveQl$.nodeToExpr(HiveQl.scala:1427) | |
| at org.apache.spark.sql.hive.HiveQl$.nodeToExpr(HiveQl.scala:1427) | |
| at org.apache.spark.sql.hive.HiveQl$.nodeToExpr(HiveQl.scala:1427) | |
| at org.apache.spark.sql.hive.HiveQl$.nodeToExpr(HiveQl.scala:1427) | |
| at org.apache.spark.sql.hive.HiveQl$.nodeToExpr(HiveQl.scala:1427) | |
| at org.apache.spark.sql.hive.HiveQl$.nodeToExpr(HiveQl.scala:1427) |
phvu
/ Serialize function in Python
Created
November 30, 2015 15:57
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| def co_dumps(f): | |
| import base64, cPickle | |
| co = f.func_code | |
| ss = [[co.co_argcount,co.co_nlocals, co.co_stacksize,co.co_flags, | |
| co.co_code,co.co_consts,co.co_names,co.co_varnames,co.co_filename, | |
| co.co_name,co.co_firstlineno,co.co_lnotab], None, f.func_name, f.func_defaults, f.func_closure] | |
| return base64.urlsafe_b64encode(cPickle.dumps(ss)) | |
| def ch(x): | |
| if x > 10: |
phvu
/ Deserialize function in Jython
Last active
November 30, 2015 15:58
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| $ CLASSPATH=/Users/vupham/lib/jython/jython-standalone-2.7.0.jar scala | |
| Welcome to Scala version 2.10.5 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_79). | |
| Type in expressions to have them evaluated. | |
| Type :help for more information. | |
| scala> import org.python.core._ | |
| import org.python.core._ | |
| scala> import org.python.util.PythonInterpreter | |
| import org.python.util.PythonInterpreter |
phvu
/ Deserialize function in Python
Last active
November 30, 2015 15:58
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| In [1]: import cPickle, types, base64, new | |
| In [2]: code_string = 'KGxwMQoobHAyCkkxCmFJMQphSTIKYUk2NwphUyd8XHgwMFx4MDBkXHgwMVx4MDBrXHgwNFx4MDByXHgxMFx4MDBkXHgwMlx4MDBTZFx4MDNceDAwUycKcDMKYShOSTEwCkkxCkkwCnRwNAphKHRhKFMneCcKdHA1CmFTJzxpcHl0aG9uLWlucHV0LTIxLTZkNGIyMjljNDhkMD4nCnA2CmFTJ2NoJwpwNwphSTEKYVMnXHgwMFx4MDFceDBjXHgwMVx4MDRceDAxJwpwOAphYU5hZzcKYU5hTmEu' | |
| In [3]: def load_code(code_string): | |
| ...: rr = cPickle.loads(base64.urlsafe_b64decode(code_string)) | |
| ...: r = rr[0] | |
| ...: return types.FunctionType(new.code(r[0],r[1],r[2],r[3],r[4],r[5],r[6],r[7],r[8],r[9],r[10],r[11]), globals(), rr[2], rr[3], rr[4]) | |
| ...: |