kmaehashi

Release 1.0.4 - 2017/06/26

• Improvements

  • anomaly: imporve get_status to return additional metrics (#1194, #1203)
  • Remove workaround code in RPM package builder (#1195, #1202)

• Bug fixes

  • Fix output of ORB plugin (#1196, #1201)

kmaehashi

# -*- coding: utf-8 -*-

import cupy
import threading
import random
import sys

# enable memory pool
cupy.cuda.memory.set_allocator(cupy.cuda.memory.MemoryPool().malloc)

kmaehashi

Release 0.5.0 (2017-04-24)

• New Features

  • Add Regression service (#82, #87)
  • Add --replace-config / --replace-version options to jubamodel command (#76, #77)

• Improvements

  • Improve color of version number in docs (#80, #81)

kmaehashi

Release 0.4.2 (2017-02-27)

• New Features

  • Add scikit-learn wrapper (#73)

• Bug Fixes

  • Fix dead links in documents (#74)

kmaehashi

このデータについて

「アニメソングの歌詞ならここにおまかせ？」(2017年1月31日に閉鎖) で公開されていた楽曲データの一覧を収集し、CSV 形式に変換したものです。

データ件数

15,932

データ形式

kmaehashi

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from __future__ import absolute_import, division, print_function, unicode_literals

import sys
import json
from cStringIO import StringIO
import msgpack

kmaehashi

{
    "runtime_status": {
        "hostname": "localhost",
        "user": "kenichi",
        "gomaxprocs": 4,
        "goversion": "go1.6.2",
        "goroot": "/home/kenichi/local/go",
        "pid": 18742,
        "num_cpu": 4,
        "working_directory": "/home/kenichi/Development/sensorbee-iris-jubatus",

kmaehashi

Release 0.4.1 (2016-12-26)

• New Features

  • Support Embedded Jubatus (#70)

• Improvements

  • Implement __repr__ method to base classes (#42, #71)
  • Add jubakit.model.JubaModel example (#68)
  • Add jubakit.model.JubaDump example (#69, #71)

kmaehashi

Release 0.4.0 (2016-10-31)

• New Features

  • Add Recommender service (#52, #58)
  • Add model file manipulation tools (#4, #62)
  • Add ConcatLoader (#61)

• Improvements

  • Support Jubatus 1.0 (#66)

kmaehashi

__all__ = [
    'ConfigFile',
    'Anomaly',
    'Bandit',
    'Burst',
    'Classifier',
    'Clustering',
    'NearestNeighbor',
    'Recommender',
    'Regression',