def compute_prs(ads_file):
'''INTERFACE: Compute precision and recall for various combinations of
model, alpha, beta, threshold for the set of ads dumped into a file.
Args:
ads_file: File containing dumped ads. Usually after merging across
accounts.
'''
adwiser = {"ads": adLib.load_ads(ads_file)}
adwiser["prediction"] = adAnalyzer.analyze_ads(adwiser["ads"])
# Uncomment below line to try all possible thresholds.
# adwiser["scores"] = adAnalyzer.get_scores(adwiser["prediction"])
adwiser["truth"] = adAnalyzer.true_ds_of_ad_list(adwiser["ads"])
adwiser["verification"] = adAnalyzer.verify_predictions(adwiser)
adAnalyzer.aggregate_verifications(adwiser, True)
def show_verifications(ads_file):
'''INTERFACE: Print the verifications of predictions made for the set of
ads dumped into a file.
Args:
ads_file: File containing dumped ads. Usually after merging across
accounts.
'''
adwiser = {"ads": adLib.load_ads(ads_file)}
adwiser["prediction"] = adAnalyzer.analyze_ads(adwiser["ads"])
adwiser["truth"] = adAnalyzer.true_ds_of_ad_list(adwiser["ads"])
adwiser["verification"] = adAnalyzer.verify_predictions(adwiser)
for i in range(0, len(adwiser["ads"])):
print adwiser["ads"][i].get_ad_str(), adwiser["prediction"][i]
print adwiser["verification"][i]
print