Esempi in Python per loadmodels

Esempio n. 1

File: deepbind_train_encode.py Progetto: gifford-lab/deepbind-docker

def loadmodels(args):
    models = util.loadmodels(args, "cfg/classification")
    if args.mode == "top":
        for name in models.keys():
            models[name]['trainer'].max_steps = 10000  # training on top 500 never seems to need more than 10000 steps, since it's a small training set
    for cfg in models.itervalues():
        cfg["model"].conv_seq[0].fsize = 24     # Override default max motif length
    return models

Esempio n. 2

def loadmodels(args):
    models = util.loadmodels(args, "cfg/classification")
    if args.mode == "top":
        for name in models.keys():
            models[name][
                'trainer'].max_steps = 10000  # training on top 500 never seems to need more than 10000 steps, since it's a small training set
    for cfg in models.itervalues():
        cfg["model"].conv_seq[
            0].fsize = 24  # Override default max motif length
    return models

Esempio n. 3

File: deepbind_train_dream5.py Progetto: kawasakin/foo

def loadmodels(args):
    models = util.loadmodels(args, "cfg/regression/maxpool")
    for cfg in models.itervalues():
        cfg["model"].conv_seq[0].fsize = 24  # Override default max motif length
    return models

Esempio n. 4

File: deepbind_train_selex.py Progetto: kawasakin/foo

def loadmodels(args):
    models = util.loadmodels(args, "cfg/classification")
    return models

Esempio n. 5

def loadmodels(args):
    models = util.loadmodels(args, "cfg/regression/maxpool")
    for cfg in models.itervalues():
        cfg["model"].conv_seq[
            0].fsize = 24  # Override default max motif length
    return models

Esempio n. 6

File: deepbind_train_selex.py Progetto: yynst2/DeepBind

def loadmodels(args):
    models = util.loadmodels(args, "cfg/classification")
    return models

Esempio n. 7

def loadmodels(args):
    models = util.loadmodels(args, modeldir="cfg/regression/allpool")
    return models