Python process_dataset Examples

Example #1

File: test_artificial_32_Fisher_MovingAverage_7__0.py Project: vanamalivanam/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=32,
                    FREQ='D',
                    seed=0,
                    trendtype="MovingAverage",
                    cycle_length=7,
                    transform="Fisher",
                    sigma=0.0,
                    exog_count=0,
                    ar_order=0)

Example #2

File: test_artificial_32_Difference_PolyTrend_30__100.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art




art.process_dataset(N = 32 , FREQ = 'D', seed = 0, trendtype = "PolyTrend", cycle_length = 30, transform = "Difference", sigma = 0.0, exog_count = 100, ar_order = 0);

Example #3

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

dataset = tsds.generate_random_TS(N=128,
                                  FREQ='D',
                                  seed=0,
                                  trendtype="constant",
                                  cycle_length=5,
                                  transform="exp",
                                  sigma=0.0,
                                  exog_count=100,
                                  ar_order=0)

art.process_dataset(dataset)

Example #4

File: test_artificial_128_Anscombe_PolyTrend_7__20.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=128,
                    FREQ='D',
                    seed=0,
                    trendtype="PolyTrend",
                    cycle_length=7,
                    transform="Anscombe",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=0)

Example #5

File: test_artificial_32_Logit_ConstantTrend_12__0.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art




art.process_dataset(N = 32 , FREQ = 'D', seed = 0, trendtype = "ConstantTrend", cycle_length = 12, transform = "Logit", sigma = 0.0, exog_count = 0, ar_order = 0);

Example #6

File: test_artificial_128_BoxCox_ConstantTrend_12_12_100.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art




art.process_dataset(N = 128 , FREQ = 'D', seed = 0, trendtype = "ConstantTrend", cycle_length = 12, transform = "BoxCox", sigma = 0.0, exog_count = 100, ar_order = 12);

Example #7

File: test_artificial_1024_RelativeDifference_MovingMedian_12_12_20.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=1024,
                    FREQ='D',
                    seed=0,
                    trendtype="MovingMedian",
                    cycle_length=12,
                    transform="RelativeDifference",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=12)

Example #8

File: test_artificial_1024_Logit_MovingMedian_30_12_20.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=1024,
                    FREQ='D',
                    seed=0,
                    trendtype="MovingMedian",
                    cycle_length=30,
                    transform="Logit",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=12)

Example #9

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=128,
                    FREQ='D',
                    seed=0,
                    trendtype="MovingMedian",
                    cycle_length=30,
                    transform="Integration",
                    sigma=0.0,
                    exog_count=0,
                    ar_order=0)

Example #10

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=32,
                    FREQ='D',
                    seed=0,
                    trendtype="LinearTrend",
                    cycle_length=5,
                    transform="RelativeDifference",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=0)

Example #11

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art




art.process_dataset(N = 1024 , FREQ = 'D', seed = 0, trendtype = "MovingMedian", cycle_length = 7, transform = "Anscombe", sigma = 0.0, exog_count = 0, ar_order = 0);

Example #12

File: test_artificial_1024_Integration_MovingAverage_7__0.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=1024,
                    FREQ='D',
                    seed=0,
                    trendtype="MovingAverage",
                    cycle_length=7,
                    transform="Integration",
                    sigma=0.0,
                    exog_count=0,
                    ar_order=0)

Example #13

File: test_artificial_1024_None_ConstantTrend_7__100.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=1024,
                    FREQ='D',
                    seed=0,
                    trendtype="ConstantTrend",
                    cycle_length=7,
                    transform="None",
                    sigma=0.0,
                    exog_count=100,
                    ar_order=0)

Example #14

File: test_artificial_1024_Difference_LinearTrend_12_12_20.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art




art.process_dataset(N = 1024 , FREQ = 'D', seed = 0, trendtype = "LinearTrend", cycle_length = 12, transform = "Difference", sigma = 0.0, exog_count = 20, ar_order = 12);

Example #15

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=1024,
                    FREQ='D',
                    seed=0,
                    trendtype="Lag1Trend",
                    cycle_length=7,
                    transform="Integration",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=12)

Example #16

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art




art.process_dataset(N = 128 , FREQ = 'D', seed = 0, trendtype = "ConstantTrend", cycle_length = 7, transform = "Integration", sigma = 0.0, exog_count = 100, ar_order = 0);

Example #17

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art




art.process_dataset(N = 32 , FREQ = 'D', seed = 0, trendtype = "MovingMedian", cycle_length = 0, transform = "BoxCox", sigma = 0.0, exog_count = 0, ar_order = 12);

Example #18

File: test_artificial_32_None_MovingMedian_12__20.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=32,
                    FREQ='D',
                    seed=0,
                    trendtype="MovingMedian",
                    cycle_length=12,
                    transform="None",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=0)

Example #19

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=128,
                    FREQ='D',
                    seed=0,
                    trendtype="Lag1Trend",
                    cycle_length=5,
                    transform="Difference",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=0)

Example #20

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art




art.process_dataset(N = 32 , FREQ = 'D', seed = 0, trendtype = "MovingAverage", cycle_length = 12, transform = "Difference", sigma = 0.0, exog_count = 20, ar_order = 12);

Example #21

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=128,
                    FREQ='D',
                    seed=0,
                    trendtype="MovingAverage",
                    cycle_length=12,
                    transform="None",
                    sigma=0.0,
                    exog_count=100,
                    ar_order=0)

Example #22

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=128,
                    FREQ='D',
                    seed=0,
                    trendtype="LinearTrend",
                    cycle_length=7,
                    transform="Logit",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=0)

Example #23

File: test_artificial_128_Quantization_LinearTrend_7_12_100.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=128,
                    FREQ='D',
                    seed=0,
                    trendtype="LinearTrend",
                    cycle_length=7,
                    transform="Quantization",
                    sigma=0.0,
                    exog_count=100,
                    ar_order=12)

Example #24

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=1024,
                    FREQ='D',
                    seed=0,
                    trendtype="MovingMedian",
                    cycle_length=5,
                    transform="Quantization",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=0)

Example #25

File: test_artificial_32_Quantization_PolyTrend_12__20.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=32,
                    FREQ='D',
                    seed=0,
                    trendtype="PolyTrend",
                    cycle_length=12,
                    transform="Quantization",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=0)

Example #26

File: test_artificial_1024_Fisher_PolyTrend_5_12_20.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=1024,
                    FREQ='D',
                    seed=0,
                    trendtype="PolyTrend",
                    cycle_length=5,
                    transform="Fisher",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=12)

Example #27

File: test_artificial_32_Fisher_ConstantTrend_30_12_20.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art




art.process_dataset(N = 32 , FREQ = 'D', seed = 0, trendtype = "ConstantTrend", cycle_length = 30, transform = "Fisher", sigma = 0.0, exog_count = 20, ar_order = 12);

Example #28

File: test_artificial_32_None_LinearTrend_0_12_20.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=32,
                    FREQ='D',
                    seed=0,
                    trendtype="LinearTrend",
                    cycle_length=0,
                    transform="None",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=12)

Example #29

File: test_artificial_32_Fisher_Lag1Trend_12__100.py Project: vfx01j/pyaf

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=32,
                    FREQ='D',
                    seed=0,
                    trendtype="Lag1Trend",
                    cycle_length=12,
                    transform="Fisher",
                    sigma=0.0,
                    exog_count=100,
                    ar_order=0)

Example #30

import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art

art.process_dataset(N=1024,
                    FREQ='D',
                    seed=0,
                    trendtype="constant",
                    cycle_length=30,
                    transform="inv",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=0)