Python generate_expid示例

示例#1

文件： pipeline_job.py 项目： Jakobularius/kaggle-whales

    'threshold': None, # rs.pick_one(None, rs.uniform(0.0, 3.0)())(),

    # classifier training /evaluation
    'n_folds': 4, # since we can do this in parallel, it's best to have a multiple of the number of cores
}

TARGET_PATTERN = "/mnt/storage/usr/sedielem/whales/results/results-gen2-%s.pkl"
DATA_PATH = "/mnt/storage/usr/sedielem/whales/X_train.npy"
LABEL_PATH = "/mnt/storage/usr/sedielem/whales/Y_train.npy"

# TARGET_PATTERN = "results/results-gen2-%s.pkl"
# DATA_PATH = "X_train.npy"
# LABEL_PATH = "Y_train.npy"


expid = rs.generate_expid()
print "EXPERIMENT: %s" % expid
print
print settings
print


start_time = time.time()
def tock():
    elapsed = time.time() - start_time
    print "  running for %.2f s" % elapsed


# load data
print "Load data"
X = np.load(DATA_PATH)

示例#2

文件： pipeline_job_manual.py 项目： Keesiu/meta-kaggle

    'threshold': None,

    # classifier training /evaluation
    'n_folds':
    4,  # since we can do this in parallel, it's best to have a multiple of the number of cores
}

# TARGET_PATTERN = "/mnt/storage/usr/sedielem/whales/results/results-%s.pkl"
# DATA_PATH = "/mnt/storage/usr/sedielem/whales/X_train.npy"
# LABEL_PATH = "/mnt/storage/usr/sedielem/whales/Y_train.npy"

TARGET_PATTERN = "results/results-%s.pkl"
DATA_PATH = "X_train.npy"
LABEL_PATH = "Y_train.npy"

expid = rs.generate_expid()
print("EXPERIMENT: %s" % expid)
print()
print(settings)
print()

start_time = time.time()


def tock():
    elapsed = time.time() - start_time
    print("  running for %.2f s" % elapsed)


# load data
print("Load data")