def calculate_features(situation, data):
"""Generate features needed for the win probability model that are
not contained in the general game state information passed via API.
Parameters
----------
situation : OrderedDict
Returns
-------
situation : The same OrderedDict, with new keys and values.
"""
situation['kneel_down'] = p.kneel_down(situation['score_diff'],
situation['timd'],
situation['secs_left'],
situation['dwn'])
situation['qtr'] = qtr(situation['secs_left'])
situation['qtr_scorediff'] = situation['qtr'] * situation['score_diff']
situation['spread'] = (
situation['spread'] * (situation['secs_left'] / 3600))
cum_pct = (
(situation['secs_left'] - data['final_drives'].secs).abs().argmin())
situation['poss_prob'] = data['final_drives'].ix[cum_pct].cum_pct
return situation
def calculate_features(situation):
"""Generate features needed for the win probability model that are
not contained in the general game state information passed via API.
Parameters
----------
situation : OrderedDict
Returns
-------
situation : The same OrderedDict, with new keys and values.
"""
situation['kneel_down'] = p.kneel_down(situation['score_diff'],
situation['timd'],
situation['secs_left'],
situation['dwn'])
situation['qtr'] = qtr(situation['secs_left'])
situation['qtr_scorediff'] = situation['qtr'] * situation['score_diff']
situation['spread'] = (
situation['spread'] * (situation['secs_left'] / 3600))
return situation
def calculate_features(situation, data):
"""Generate features needed for the win probability model that are
not contained in the general game state information passed via API.
Parameters
----------
situation : OrderedDict
Returns
-------
situation : The same OrderedDict, with new keys and values.
"""
situation['kneel_down'] = p.kneel_down(situation['score_diff'],
situation['timd'],
situation['secs_left'],
situation['dwn'])
situation['qtr'] = qtr(situation['secs_left'])
situation['qtr_scorediff'] = situation['qtr'] * situation['score_diff']
situation['spread'] = (situation['spread'] *
(situation['secs_left'] / 3600))
cum_pct = ((situation['secs_left'] -
data['final_drives'].secs).abs().argmin())
situation['poss_prob'] = data['final_drives'].ix[cum_pct].cum_pct
return situation