Python process_dataset Beispiele

Beispiel #1

Datei: test_artificial_1024_Quantization_PolyTrend_0__20.py Projekt: olivier2311/pyaf

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

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

Beispiel #2

Datei: test_artificial_32_RelativeDifference_Lag1Trend_7_12_20.py Projekt: olivier2311/pyaf

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

art.process_dataset(N=32,
                    FREQ='D',
                    seed=0,
                    trendtype="Lag1Trend",
                    cycle_length=7,
                    transform="RelativeDifference",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=12)

Beispiel #3

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

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

Beispiel #4

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

art.process_dataset(N=128,
                    FREQ='D',
                    seed=0,
                    trendtype="MovingMedian",
                    cycle_length=30,
                    transform="BoxCox",
                    sigma=0.0,
                    exog_count=100,
                    ar_order=12)

Beispiel #5

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

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

Beispiel #6

Datei: test_artificial_1024_Logit_LinearTrend_0_12_20.py Projekt: olivier2311/pyaf

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

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

Beispiel #7

Datei: test_artificial_128_None_LinearTrend_5__0.py Projekt: olivier2311/pyaf

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

art.process_dataset(N=128,
                    FREQ='D',
                    seed=0,
                    trendtype="LinearTrend",
                    cycle_length=5,
                    transform="None",
                    sigma=0.0,
                    exog_count=0,
                    ar_order=0)

Beispiel #8

Datei: test_artificial_1024__poly_7__20.py Projekt: olivier2311/pyaf

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

art.process_dataset(N=1024,
                    FREQ='D',
                    seed=0,
                    trendtype="poly",
                    cycle_length=7,
                    transform="None",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=0)

Beispiel #9

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

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

Beispiel #10

Datei: test_artificial_32_RelativeDifference_MovingAverage_0__20.py Projekt: olivier2311/pyaf

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

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

Beispiel #11

Datei: test_artificial_1024_inv_constant_30__20.py Projekt: olivier2311/pyaf

import pyaf.Bench.TS_datasets as tsds
import 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)

Beispiel #12

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




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

Beispiel #13

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

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

Beispiel #14

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




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

Beispiel #15

Datei: test_artificial_128_RelativeDifference_PolyTrend_0__0.py Projekt: olivier2311/pyaf

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

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

Beispiel #16

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

art.process_dataset(N=32,
                    FREQ='D',
                    seed=0,
                    trendtype="MovingMedian",
                    cycle_length=7,
                    transform="None",
                    sigma=0.0,
                    exog_count=100,
                    ar_order=0)

Beispiel #17

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




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

Beispiel #18

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

art.process_dataset(N=1024,
                    FREQ='D',
                    seed=0,
                    trendtype="Lag1Trend",
                    cycle_length=30,
                    transform="BoxCox",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=0)

Beispiel #19

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

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

Beispiel #20

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




art.process_dataset(N = 128 , FREQ = 'D', seed = 0, trendtype = "Lag1Trend", cycle_length = 12, transform = "Integration", sigma = 0.0, exog_count = 100, ar_order = 0);

Beispiel #21

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

art.process_dataset(N=32,
                    FREQ='D',
                    seed=0,
                    trendtype="Lag1Trend",
                    cycle_length=30,
                    transform="Anscombe",
                    sigma=0.0,
                    exog_count=100,
                    ar_order=0)

Beispiel #22

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

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

Beispiel #23

Datei: test_artificial_1024_RelativeDifference_MovingMedian_5__0.py Projekt: olivier2311/pyaf

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

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

Beispiel #24

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

art.process_dataset(N=128,
                    FREQ='D',
                    seed=0,
                    trendtype="MovingMedian",
                    cycle_length=7,
                    transform="Quantization",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=12)

Beispiel #25

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




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

Beispiel #26

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




art.process_dataset(N = 128 , FREQ = 'D', seed = 0, trendtype = "PolyTrend", cycle_length = 5, transform = "BoxCox", sigma = 0.0, exog_count = 0, ar_order = 0);

Beispiel #27

Datei: test_artificial_128_Integration_PolyTrend_30_12_0.py Projekt: olivier2311/pyaf

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

art.process_dataset(N=128,
                    FREQ='D',
                    seed=0,
                    trendtype="PolyTrend",
                    cycle_length=30,
                    transform="Integration",
                    sigma=0.0,
                    exog_count=0,
                    ar_order=12)

Beispiel #28

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

art.process_dataset(N=128,
                    FREQ='D',
                    seed=0,
                    trendtype="Lag1Trend",
                    cycle_length=7,
                    transform="Fisher",
                    sigma=0.0,
                    exog_count=100,
                    ar_order=12)

Beispiel #29

Datei: test_artificial_32_Integration_ConstantTrend_0__100.py Projekt: olivier2311/pyaf

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

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

Beispiel #30

Datei: test_artificial_32_Quantization_LinearTrend_5_12_20.py Projekt: olivier2311/pyaf

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

art.process_dataset(N=32,
                    FREQ='D',
                    seed=0,
                    trendtype="LinearTrend",
                    cycle_length=5,
                    transform="Quantization",
                    sigma=0.0,
                    exog_count=20,
                    ar_order=12)