Python DownscaleModel.get_results Examples

Example #1

File: test_models.py Project: helianglen/pydownscale

def qrnn_test(data, loc, season):
    model = QRNNCV(tol=1e-2, hidden_nodes=[3], n_jobs=1, ntrails=3)
    #model = QRNN(tol=1e-2, ntrails=3)
    dmodel = DownscaleModel(data, model, season=season)
    dmodel.train(location={'lat': loc[0], 'lon': loc[1]})
    return pandas.DataFrame(dmodel.get_results())

Example #2

File: test_models.py Project: helianglen/pydownscale

def mssl_test(data, loc, season):
    model = pMSSL(gamma=0.1, lambd=0.1)
    dmodel = DownscaleModel(data, model, season=season)
    dmodel.train()
    return pandas.DataFrame(dmodel.get_results())

Example #3

File: test_models.py Project: helianglen/pydownscale

def bma_test(data, loc, season):
    model = BMA()
    dmodel = DownscaleModel(data, model, season=season)
    dmodel.train(location={'lat': loc[0], 'lon': loc[1]})
    return pandas.DataFrame(dmodel.get_results())

Example #4

File: test_models.py Project: helianglen/pydownscale

def lasso_test(data, loc, season):
    model = LassoCV(max_iter=2000, normalize=True)
    dmodel = DownscaleModel(data, model, season=season)
    dmodel.train(location={'lat': loc[0], 'lon': loc[1]})
    return pandas.DataFrame(dmodel.get_results())

Example #5

File: test_models.py Project: helianglen/pydownscale

def mtlasso_test(data, loc, season):
    model = MultiTaskLassoCV(max_iter=2000, normalize=True)
    dmodel = DownscaleModel(data, model, season=season)
    dmodel.train()
    return pandas.DataFrame(dmodel.get_results())

Example #6

File: test_models.py Project: liyi-1989/pydownscale

def qrnn_test(data, loc, season):
    model = QRNNCV(tol=1e-2, hidden_nodes=[3], n_jobs=1, ntrails=3)
    #model = QRNN(tol=1e-2, ntrails=3)
    dmodel = DownscaleModel(data, model, season=season)
    dmodel.train(location={'lat': loc[0], 'lon': loc[1]})
    return pandas.DataFrame(dmodel.get_results())

Example #7

File: test_models.py Project: helianglen/pydownscale

def stepwiseregression_test(data, loc, season):
    model = BackwardStepwiseRegression()
    dmodel = DownscaleModel(data, model, season=season)
    dmodel.train(location={'lat': loc[0], 'lon': loc[1]})
    return pandas.DataFrame(dmodel.get_results())

Example #8

File: test_models.py Project: liyi-1989/pydownscale

def bma_test(data, loc, season):
    model = BMA()
    dmodel = DownscaleModel(data, model, season=season)
    dmodel.train(location={'lat': loc[0], 'lon': loc[1]})
    return pandas.DataFrame(dmodel.get_results())

Example #9

File: test_models.py Project: liyi-1989/pydownscale

def mssl_test(data, loc, season):
    model = pMSSL(gamma=0.1, lambd=0.1)
    dmodel = DownscaleModel(data, model, season=season)
    dmodel.train()
    return pandas.DataFrame(dmodel.get_results())

Example #10

File: test_models.py Project: liyi-1989/pydownscale

def mtlasso_test(data, loc, season):
    model = MultiTaskLassoCV(max_iter=2000, normalize=True)
    dmodel = DownscaleModel(data, model, season=season)
    dmodel.train()
    return pandas.DataFrame(dmodel.get_results())

Example #11

File: test_models.py Project: liyi-1989/pydownscale

def lasso_test(data, loc, season):
    model = LassoCV(max_iter=2000, normalize=True)
    dmodel = DownscaleModel(data, model, season=season)
    dmodel.train(location={'lat': loc[0], 'lon': loc[1]})
    return pandas.DataFrame(dmodel.get_results())

Example #12

File: test_models.py Project: liyi-1989/pydownscale

def stepwiseregression_test(data, loc, season):
    model = BackwardStepwiseRegression()
    dmodel = DownscaleModel(data, model, season=season)
    dmodel.train(location={'lat': loc[0], 'lon': loc[1]})
    return pandas.DataFrame(dmodel.get_results())