First of all, make sure that your Treasure Data cluster is HDP2, not CDH4. Matrix Factorization is only supported in the up-to-date HDP2 cluster. HDP2 is allocated for users who signed Treasure Data after Feb 2015. CDH4 is allcoated for the others.
NOTE: please ask our customer support to use HDP2 if you get an error.
Download ml-20m.zip and unzip it.
| #!/bin/bash | |
| # const | |
| USAGE="[USAGE] | |
| $ ./setup <username> <reponame> <ip> | |
| [Requirement] | |
| exec by root | |
| [Example] |
| # Place the following in your home directory at ~/.numpy-site.cfg | |
| # in order to install numpy with openblas support | |
| [openblas] | |
| libraries = openblas | |
| library_dirs = /usr/local/opt/openblas/lib | |
| include_dirs = /usr/local/opt/openblas/include |
| def auc(num_positives, num_negatives, predicted): | |
| l_sorted = sorted(range(len(predicted)),key=lambda i: predicted[i], | |
| reverse=True) | |
| fp_cur = 0.0 | |
| tp_cur = 0.0 | |
| fp_prev = 0.0 | |
| tp_prev = 0.0 | |
| fp_sum = 0.0 | |
| auc_tmp = 0.0 | |
| last_score = float("nan") |
| class PurchaseApprover | |
| # Implements the chain of responsibility pattern. Does not know anything | |
| # about the approval process, merely whether the current handler can approve | |
| # the request, or must pass it to a successor. | |
| attr_reader :successor | |
| def initialize successor | |
| @successor = successor | |
| end |
| # (C) Mathieu Blondel, November 2013 | |
| # License: BSD 3 clause | |
| import numpy as np | |
| from scipy.linalg import svd | |
| def frequent_directions(A, ell, verbose=False): | |
| """ | |
| Return the sketch of matrix A. |
| update tests_summary_data set data = (jsonb_set(to_jsonb(data), '{misc,gap,pa}', '-1', false))::json where data->'misc'->'gap'->>'pa' = '0'; |
2013-11-01
0.0.1
@voluntas
概要
| """ | |
| Some python code for | |
| Markov Chain Monte Carlo and Gibs sampling | |
| by Bruce Walsh | |
| """ | |
| import numpy as np | |
| import numpy.linalg as npla |
