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/dports/misc/py-orange3-timeseries/orange3-timeseries-0.3.10/orangecontrib/timeseries/widgets/tests/
H A Dtest_owaggregate.py25 attributes=self.time_series.domain.attributes,
29 data = self.time_series.transform(new_domain)
32 self.send_signal(w.Inputs.time_series, data)
34 output = self.get_output(w.Outputs.time_series)
41 self.send_signal(w.Inputs.time_series, self.time_series)
43 self.send_signal(w.Inputs.time_series, table)
45 self.send_signal(w.Inputs.time_series, self.time_series)
50 self.send_signal(w.Inputs.time_series, self.time_series[:20])
52 output = self.get_output(w.Outputs.time_series)
56 self.send_signal(self.widget.Inputs.time_series, self.time_series)
[all …]
H A Dtest_owseasonaladjustment.py26 self.send_signal(w.Inputs.time_series, table)
29 self.send_signal(w.Inputs.time_series, None)
38 time_series = Timeseries.from_data_table(Table("iris")[::30])
40 self.send_signal(w.Inputs.time_series, time_series)
49 time_series = Timeseries.from_data_table(Table("iris")[:2])
51 self.send_signal(w.Inputs.time_series, time_series)
53 self.send_signal(w.Inputs.time_series, None)
62 time_series = Timeseries.from_data_table(Table("iris"))
63 self.send_signal(w.Inputs.time_series, time_series)
67 len(time_series.domain))
H A Dtest_owspiralogram.py31 self.send_signal(w.Inputs.time_series, self.passengers)
33 output1 = self.get_output(w.Outputs.time_series)
34 self.send_signal(w.Inputs.time_series, time_series2)
36 output2 = self.get_output(w.Outputs.time_series)
43 self.send_signal(w.Inputs.time_series, self.passengers)
45 self.send_signal(w.Inputs.time_series, table)
47 self.send_signal(w.Inputs.time_series, self.passengers)
54 self.send_signal(w.Inputs.time_series, data)
57 output = self.get_output(w.Outputs.time_series)
63 self.send_signal(w.Inputs.time_series, self.philadelphia)
[all …]
H A Dtest_owdifference.py23 self.send_signal(self.widget.Inputs.time_series, self.data)
24 output = self.get_output(self.widget.Outputs.time_series)
30 output = self.get_output(self.widget.Outputs.time_series)
33 self.send_signal(self.widget.Inputs.time_series, None)
36 self.send_signal(self.widget.Inputs.time_series, self.data)
37 output = self.get_output(self.widget.Outputs.time_series)
48 self.send_signal(w.Inputs.time_series, self.simple_data[:6])
51 out = self.get_output(w.Outputs.time_series).X[:, -1]
61 out = self.get_output(w.Outputs.time_series).X[:, -1]
73 out = self.get_output(w.Outputs.time_series).X[:, -1]
[all …]
H A Dtest_owcorrelogram.py23 time_series = Timeseries.from_list(
27 time_series.X[:, 1] = np.nan
28 self.send_signal(self.widget.Inputs.time_series, time_series)
29 time_series.X[2, 1] = 42
30 self.send_signal(self.widget.Inputs.time_series, time_series)
38 self.send_signal(self.widget.Inputs.time_series, data)
H A Dtest_owlinechart.py21 self.send_signal(w.Inputs.time_series, None)
40 self.send_signal(w.Inputs.time_series, self.airpassengers)
41 self.send_signal(w.Inputs.time_series, None)
48 self.send_signal(w.Inputs.time_series, self.amzn)
59 self.send_signal(w.Inputs.time_series, self.amzn)
65 self.send_signal(w.Inputs.time_series, self.airpassengers)
66 self.send_signal(w.Inputs.time_series, self.amzn)
77 self.send_signal(w.Inputs.time_series, self.amzn)
97 self.send_signal(w.Inputs.time_series, self.amzn)
H A Dtest_owmovingtransform.py24 self.send_signal(w.Inputs.time_series, table)
39 self.send_signal(w.Inputs.time_series, iris)
42 self.send_signal(w.Inputs.time_series, heart)
45 self.send_signal(w.Inputs.time_series, iris)
48 self.send_signal(w.Inputs.time_series, None)
51 self.send_signal(w.Inputs.time_series, iris)
/dports/math/py-luminol/luminol-0.3.1/src/luminol/
H A Danomaly_detector.py22 from luminol.modules.time_series import TimeSeries
27 def __init__(self, time_series, baseline_time_series=None, score_only=False, score_threshold=None, argument
44 self.time_series = self._load(time_series)
63 def _load(self, time_series): argument
69 if not time_series:
71 if isinstance(time_series, TimeSeries):
72 return time_series
73 if isinstance(time_series, dict):
74 return TimeSeries(time_series)
75 return TimeSeries(utils.read_csv(time_series))
[all …]
H A Dcorrelator.py21 from luminol.modules.time_series import TimeSeries
53 def _get_anomaly_scores(self, time_series): argument
58 return AnomalyDetector(time_series, score_only=True).get_all_scores()
60 def _load(self, time_series): argument
66 if isinstance(time_series, TimeSeries):
67 return time_series
68 if isinstance(time_series, dict):
69 return TimeSeries(time_series)
70 return TimeSeries(utils.read_csv(time_series))
/dports/benchmarks/py-naarad/naarad-1.0.15/lib/luminol/src/luminol/
H A Danomaly_detector.py22 from luminol.modules.time_series import TimeSeries
27 def __init__(self, time_series, baseline_time_series=None, score_only=False, score_threshold=None, argument
44 self.time_series = self._load(time_series)
63 def _load(self, time_series): argument
69 if not time_series:
71 if isinstance(time_series, TimeSeries):
72 return time_series
73 if isinstance(time_series, dict):
74 return TimeSeries(time_series)
75 return TimeSeries(utils.read_csv(time_series))
[all …]
H A Dcorrelator.py21 from luminol.modules.time_series import TimeSeries
53 def _get_anomaly_scores(self, time_series): argument
58 return AnomalyDetector(time_series, score_only=True).get_all_scores()
60 def _load(self, time_series): argument
66 if isinstance(time_series, TimeSeries):
67 return time_series
68 if isinstance(time_series, dict):
69 return TimeSeries(time_series)
70 return TimeSeries(utils.read_csv(time_series))
/dports/science/py-nilearn/nilearn-0.8.1/examples/03_connectivity/
H A Dplot_atlas_comparison.py64 time_series = [] variable
66 time_series.append(masker.fit_transform(func, confounds=confounds))
69 correlation_matrices = connectome_measure.fit_transform(time_series)
93 def lag_correlation(time_series, lag): argument
94 n_subjects = len(time_series)
95 n_samples, n_features = time_series[0].shape
97 for subject, serie in enumerate(time_series):
110 lag_correlation_matrix = lag_correlation(time_series, lag)
134 time_series = [] variable
136 time_series.append(masker.fit_transform(func, confounds=confounds))
[all …]
/dports/science/afni/afni-AFNI_21.3.16/src/
H A Dts.h16 } time_series ; typedef
20 time_series ** tsarr ;
28 (name)->tsarr = (time_series **)malloc(sizeof(time_series *)*INC_TSARR) )
33 (name)->nall += INC_TSARR+(name)->nall/16; nn = sizeof(time_series *) * (name)->nall;\
34 (name)->tsarr = ((name)->tsarr == NULL) ? (time_series **)malloc(nn) \
35 : (time_series **)realloc((name)->tsarr,nn); \
48 extern time_series * RWC_read_time_series() ; /* more declarations */
53 extern time_series * RWC_blank_time_series() ;
H A Dts.c20 time_series *ts; in RWC_free_time_series()
33 time_series * RWC_blank_time_series( npt ) in RWC_blank_time_series()
37 time_series *vec ;
41 vec = (time_series *) malloc( sizeof(time_series) ) ;
59 time_series * vec ; in RWC_medfilt_time_series()
88 time_series * RWC_read_time_series(fname) in RWC_read_time_series()
93 time_series *vec ;
97 vec = (time_series *) malloc( sizeof(time_series) ) ;
164 time_series *vec;
181 time_series *vec;
[all …]
/dports/misc/py-orange3-timeseries/orange3-timeseries-0.3.10/orangecontrib/timeseries/tests/
H A Dtest_timeseries.py15 time_series = Timeseries.from_data_table(table)
16 id_1 = id(time_series.attributes)
17 time_series.time_variable = time_series.domain.attributes[0]
18 self.assertNotEqual(id_1, id(time_series.attributes))
22 time_series = Timeseries.make_timeseries_from_continuous_var(table,
24 self.assertEqual(time_series.time_variable.name, 'date of birth')
25 self.assertTrue(time_series.time_variable in time_series.domain.metas)
/dports/devel/py-opencensus/opencensus-0.7.13/opencensus/metrics/export/
H A Dmetric.py36 def __init__(self, descriptor, time_series): argument
37 if not time_series:
41 self._time_series = time_series
49 "<{} TimeSeries>".format(len(self.time_series)),
54 def time_series(self): member in Metric
65 for ts in self.time_series:
76 for ts in self.time_series:
/dports/lang/spidermonkey60/firefox-60.9.0/media/webrtc/trunk/webrtc/tools/event_log_visualizer/
H A Danalyzer.cc522 TimeSeries time_series; in CreatePacketGraph() local
524 time_series.style = BAR_GRAPH; in CreatePacketGraph()
554 TimeSeries time_series; in CreateAccumulatedPacketsTimeSeries() local
556 time_series.style = LINE_GRAPH; in CreateAccumulatedPacketsTimeSeries()
613 for (auto& kv : time_series) { in CreatePlayoutGraph()
669 TimeSeries time_series; in CreateSequenceNumberGraph() local
671 time_series.style = BAR_GRAPH; in CreateSequenceNumberGraph()
692 TimeSeries time_series; in CreateIncomingPacketLossGraph() local
905 TimeSeries time_series; in CreateStreamBitrateGraph() local
953 TimeSeries time_series; in CreateBweSimulationGraph() local
[all …]
/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/webrtc/rtc_tools/rtc_event_log_visualizer/
H A Danalyze_audio.cc45 parsed_log.audio_network_adaptation_events(), &time_series); in CreateAudioEncoderTargetBitrateGraph()
46 plot->AppendTimeSeries(std::move(time_series)); in CreateAudioEncoderTargetBitrateGraph()
71 plot->AppendTimeSeries(std::move(time_series)); in CreateAudioEncoderFrameLengthGraph()
96 plot->AppendTimeSeries(std::move(time_series)); in CreateAudioEncoderPacketLossGraph()
107 TimeSeries time_series("Audio encoder FEC", LineStyle::kLine, in CreateAudioEncoderEnableFecGraph() local
122 plot->AppendTimeSeries(std::move(time_series)); in CreateAudioEncoderEnableFecGraph()
132 TimeSeries time_series("Audio encoder DTX", LineStyle::kLine, in CreateAudioEncoderEnableDtxGraph() local
147 plot->AppendTimeSeries(std::move(time_series)); in CreateAudioEncoderEnableDtxGraph()
172 plot->AppendTimeSeries(std::move(time_series)); in CreateAudioEncoderNumChannelsGraph()
447 std::map<uint32_t, TimeSeries> time_series; in CreateNetEqStatsGraphInternal() local
[all …]
H A Danalyzer.cc221 return time_series; in CreateRtcpTypeTimeSeries()
509 TimeSeries time_series( in CreatePacketRateGraph() local
517 TimeSeries time_series( in CreatePacketRateGraph() local
523 &time_series); in CreatePacketRateGraph()
527 &time_series); in CreatePacketRateGraph()
651 TimeSeries time_series( in CreateSequenceNumberGraph() local
666 &time_series); in CreateSequenceNumberGraph()
686 TimeSeries time_series( in CreateIncomingPacketLossGraph() local
869 &time_series); in CreateTotalIncomingBitrateGraph()
1046 &time_series); in CreateTotalOutgoingBitrateGraph()
[all …]
/dports/finance/quantlib/QuantLib-1.20/ql/models/volatility/
H A Dgarch.hpp40 typedef TimeSeries<Volatility> time_series; typedef in QuantLib::Garch11
41 typedef time_series::const_iterator const_iterator;
42 typedef time_series::const_value_iterator const_value_iterator;
62 Garch11(const time_series& qs, Mode mode = BestOfTwo) in Garch11()
80 time_series calculate(const time_series& quoteSeries) { in calculate()
83 void calibrate(const time_series& quoteSeries) { in calibrate()
90 static time_series calculate(const time_series& quoteSeries,
93 void calibrate(const time_series& quoteSeries, in calibrate()
100 void calibrate(const time_series& quoteSeries, in calibrate()
/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/third_party/webrtc/rtc_tools/rtc_event_log_visualizer/
H A Danalyzer.cc330 return time_series; in CreateRtcpTypeTimeSeries()
629 TimeSeries time_series( in CreatePacketRateGraph() local
636 TimeSeries time_series( in CreatePacketRateGraph() local
642 &time_series); in CreatePacketRateGraph()
646 &time_series); in CreatePacketRateGraph()
784 &time_series); in CreateSequenceNumberGraph()
985 &time_series); in CreateTotalIncomingBitrateGraph()
1162 &time_series); in CreateTotalOutgoingBitrateGraph()
1174 &time_series); in CreateTotalOutgoingBitrateGraph()
1238 for (auto& layer : time_series) { in CreateBitrateAllocationGraph()
[all …]
/dports/math/py-luminol/luminol-0.3.1/src/luminol/algorithms/anomaly_detector_algorithms/
H A Dexp_avg_detector.py17 from luminol.modules.time_series import TimeSeries
27 …def __init__(self, time_series, baseline_time_series=None, smoothing_factor=None, use_lag_window=F… argument
35 super(ExpAvgDetector, self).__init__(self.__class__.__name__, time_series, baseline_time_series)
39 self.time_series_items = self.time_series.items()
57 values = self.time_series.values
75 values = self.time_series.values
H A D__init__.py23 def __init__(self, class_name, time_series, baseline_time_series=None): argument
31 self.time_series = time_series
32 self.time_series_length = len(time_series)
/dports/benchmarks/py-naarad/naarad-1.0.15/lib/luminol/src/luminol/algorithms/anomaly_detector_algorithms/
H A Dexp_avg_detector.py17 from luminol.modules.time_series import TimeSeries
27 …def __init__(self, time_series, baseline_time_series=None, smoothing_factor=None, use_lag_window=F… argument
35 super(ExpAvgDetector, self).__init__(self.__class__.__name__, time_series, baseline_time_series)
39 self.time_series_items = self.time_series.items()
57 values = self.time_series.values
75 values = self.time_series.values
/dports/finance/quantlib/QuantLib-1.20/ql/
H A Dvolatilitymodel.hpp43 typedef TimeSeries<Volatility> time_series; typedef in QuantLib::VolatilityCompositor
45 virtual time_series calculate(const time_series& volatilitySeries) = 0;
46 virtual void calibrate(const time_series& volatilitySeries) = 0;

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