bbengfort

from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.decomposition import LatentDirichletAllocation

from yellowbrick.datasets import load_hobbies


class LDAViz(object):
    """

bbengfort

gource -1280x720 --camera-mode track --seconds-per-day 4 --auto-skip-seconds 1 \
       --file-idle-time 0 --key --title "Yellowbrick" -o - | ffmpeg -y -r 60 \ 
       -f image2pipe -vcodec ppm -i - -vcodec libx264 -preset ultrafast \
       -pix_fmt yuv420p -crf 1 -threads 0 -bf 0 gource.mp4

bbengfort

#!/usr/bin/env python3

import os
import glob
import argparse
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

bbengfort

type Bitmask uint8

const (
	F0 bitmask = 1 << iota
	F1
	F2
)

func Set(b, flag Bitmask) Bitmask    { return b | flag }
func Clear(b, flag Bitmask) Bitmask  { return b &^ flag }

bbengfort

from yellowbrick.features.projection import ProjectionVisualizer

from sklearn.pipeline import Pipeline
from sklearn.decomposition import PCA
from sklearn.preprocessing import  StandardScaler
from sklearn.datasets import make_regression


class Visualizer(ProjectionVisualizer):

bbengfort

package main

import (
	"context"
	"fmt"
	"log"
	"time"

	"github.com/BTrDB/btrdb"
	"github.com/PingThingsIO/smartgridstore/modules/creds"

bbengfort

from sklearn.model_selection import train_test_split as tts


def visualizer(
    model, 
    X_train, 
    y_train, 
    X_test=None, 
    y_test=None,
    ax=None, 

bbengfort

import os
import time
import btrdb

from tabulate import tabulate

db = btrdb.connect("api.research.predictivegrid.com:4411", "48BE21A7A13661B1EED5AB87")


def list_collection(prefix):

bbengfort

{% set name = "yellowbrick" %}
{% set version = "0.9.1" %}
{% set file_ext = "tar.gz" %}
{% set hash_type = "sha256" %}
{% set hash_value = "aa85f1f3898e972e39cf8934cca37a35b7b8d376f16606681a20c95b59e9c71c" %}

package:
  name: '{{ name|lower }}'
  version: '{{ version }}'

bbengfort

#!/usr/bin/env python

def hex2rgb(color):
    color = color.lstrip("#")
    return tuple(
        int(color[idx:idx+2], 16)
        for idx in (0, 2, 4)
    )