Python SommelierYeungMFRecommender.split_data_evaluate_movielens_file Beispiele

Beispiel #1

Datei: eval_train_movielens.py Projekt: pgchamberlin/sommelier

#!flask/bin/python
from src.recommender import SommelierYeungMFRecommender, SommelierRecommender
y = SommelierYeungMFRecommender()
y.split_data_evaluate_movielens_file('ml-100k/u.data', [
    {"steps":1,  "factors":10, "verbose":True},
    {"steps":2,  "factors":10, "verbose":True},
    {"steps":3,  "factors":10, "verbose":True},
    {"steps":4,  "factors":10, "verbose":True},
    {"steps":5,  "factors":10, "verbose":True},
    {"steps":6,  "factors":10, "verbose":True},
    {"steps":7,  "factors":10, "verbose":True},
    {"steps":8,  "factors":10, "verbose":True},
    {"steps":9,  "factors":10, "verbose":True},
    {"steps":10,  "factors":10, "verbose":True},
    {"steps":12,  "factors":10, "verbose":True},
    {"steps":14,  "factors":10, "verbose":True},
    {"steps":16,  "factors":10, "verbose":True},
], percent_train=80)

y.split_data_evaluate_movielens_file('ml-100k/u.data', [
    {"steps":1,  "factors":10, "verbose":True},
    {"steps":2,  "factors":10, "verbose":True},
    {"steps":3,  "factors":10, "verbose":True},
    {"steps":4,  "factors":10, "verbose":True},
    {"steps":5,  "factors":10, "verbose":True},
    {"steps":6,  "factors":10, "verbose":True},
    {"steps":7,  "factors":10, "verbose":True},
    {"steps":8,  "factors":10, "verbose":True},
    {"steps":9,  "factors":10, "verbose":True},
    {"steps":10,  "factors":10, "verbose":True},
    {"steps":12,  "factors":10, "verbose":True},

Beispiel #2

y.split_data_evaluate_movielens_file('ml-100k/u.data', [
    {
        "steps": 1,
        "factors": 10,
        "verbose": True
    },
    {
        "steps": 2,
        "factors": 10,
        "verbose": True
    },
    {
        "steps": 3,
        "factors": 10,
        "verbose": True
    },
    {
        "steps": 4,
        "factors": 10,
        "verbose": True
    },
    {
        "steps": 5,
        "factors": 10,
        "verbose": True
    },
    {
        "steps": 6,
        "factors": 10,
        "verbose": True
    },
    {
        "steps": 7,
        "factors": 10,
        "verbose": True
    },
    {
        "steps": 8,
        "factors": 10,
        "verbose": True
    },
    {
        "steps": 9,
        "factors": 10,
        "verbose": True
    },
    {
        "steps": 10,
        "factors": 10,
        "verbose": True
    },
    {
        "steps": 12,
        "factors": 10,
        "verbose": True
    },
    {
        "steps": 14,
        "factors": 10,
        "verbose": True
    },
    {
        "steps": 16,
        "factors": 10,
        "verbose": True
    },
],
                                     percent_train=80)