Python ClarifaiCustomModel Examples

Example #1

File: predict.py Project: vaskevich/HackMIT-2015

import sys
from lib.clarifai_basic import ClarifaiCustomModel

clarifai = ClarifaiCustomModel()

print clarifai.predict_all(sys.argv[1])

Example #2

File: train.py Project: vaskevich/HackMIT-2015

import json
import sys
from lib.clarifai_basic import ClarifaiCustomModel

clarifai = ClarifaiCustomModel()

with open('training_data.json') as data_file:
    data = json.load(data_file)

    concepts = data['concepts']
    concept = sys.argv[1]
    
    for url in concepts[concept]['positive_urls']:
        print concept + " POSITIVE: " + url
        clarifai.positive(url, concept)

    for url in concepts[concept]['negative_urls']:
        print concept + " NEGATIVE: " + url
        clarifai.negative(url, concept)

    clarifai.train(concept)