# Path: crowdastro/config.py
# SCRIPT_PATH = os.path.dirname(os.path.realpath(__file__))
# def get(*args, **kwargs):


import logging
import numpy
import sklearn.cross_validation
import sklearn.linear_model
import sklearn.pipeline
import sklearn.preprocessing
from sklearn.ensemble import RandomForestClassifier
from crowdastro.config import config
"""Classifier for radio subjects.

Matthew Alger
The Australian National University
2016
"""




ARCMIN = 1 / 60  # deg
IMAGE_SIZE = (
    config['surveys']['atlas']['fits_height'] *

# Path: crowdastro/config.py
# SCRIPT_PATH = os.path.dirname(os.path.realpath(__file__))
# def get(*args, **kwargs):


# Path: crowdastro/classifier.py
import logging
import numpy
import sklearn.cross_validation
import sklearn.linear_model
import sklearn.pipeline
import sklearn.preprocessing
from sklearn.ensemble import RandomForestClassifier
from crowdastro.config import config

"""Classifier for radio subjects.

Matthew Alger
The Australian National University
2016
"""




ARCMIN = 1 / 60  # deg
IMAGE_SIZE = (
    config['surveys']['atlas']['fits_height'] *

    config['surveys']['atlas']['fits_width'])