alexandrebarachant

from pybmi.modeling.loading.benchmarks import EventsBenchmarkLoader
from cogdata_service.service import simple_api
from workflow.experiments.utils import partition
from pybmi.modeling.events.metrics import events_confusion
import json

import matplotlib.pyplot as plt

def plot_preds(preds, time, alpha=1, ax=None, c='k', events=None):
    if ax is None:

alexandrebarachant

alexandrebarachant

from pyriemann.estimation import Covariances
from pyriemann.tangentspace import TangentSpace

from sklearn.pipeline import make_pipeline
from sklearn.linear_model import LogisticRegression
from sklearn.cross_validation import cross_val_score

# load your data
X = ... # your EEG data, in format Ntrials x Nchannels X Nsamples
y = ... # the labels

alexandrebarachant

# -*- coding: utf-8 -*-
"""
Created on Mon Jun 29 14:00:37 2015

@author: alexandrebarachant
"""

import numpy as np
import pandas as pd
from mne.io import RawArray