/dports/misc/py-orange3-timeseries/orange3-timeseries-0.3.10/orangecontrib/timeseries/widgets/tests/ |
H A D | test_owaggregate.py | 25 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 …]
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H A D | test_owseasonaladjustment.py | 26 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))
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H A D | test_owspiralogram.py | 31 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 …]
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H A D | test_owdifference.py | 23 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 …]
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H A D | test_owcorrelogram.py | 23 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)
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H A D | test_owlinechart.py | 21 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)
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H A D | test_owmovingtransform.py | 24 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)
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/dports/math/py-luminol/luminol-0.3.1/src/luminol/ |
H A D | anomaly_detector.py | 22 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 …]
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H A D | correlator.py | 21 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))
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/dports/benchmarks/py-naarad/naarad-1.0.15/lib/luminol/src/luminol/ |
H A D | anomaly_detector.py | 22 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 …]
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H A D | correlator.py | 21 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))
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/dports/science/py-nilearn/nilearn-0.8.1/examples/03_connectivity/ |
H A D | plot_atlas_comparison.py | 64 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 …]
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/dports/science/afni/afni-AFNI_21.3.16/src/ |
H A D | ts.h | 16 } 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() ;
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H A D | ts.c | 20 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 …]
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/dports/misc/py-orange3-timeseries/orange3-timeseries-0.3.10/orangecontrib/timeseries/tests/ |
H A D | test_timeseries.py | 15 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)
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/dports/devel/py-opencensus/opencensus-0.7.13/opencensus/metrics/export/ |
H A D | metric.py | 36 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:
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/dports/lang/spidermonkey60/firefox-60.9.0/media/webrtc/trunk/webrtc/tools/event_log_visualizer/ |
H A D | analyzer.cc | 522 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 …]
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/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/webrtc/rtc_tools/rtc_event_log_visualizer/ |
H A D | analyze_audio.cc | 45 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 …]
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H A D | analyzer.cc | 221 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 …]
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/dports/finance/quantlib/QuantLib-1.20/ql/models/volatility/ |
H A D | garch.hpp | 40 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()
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/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/third_party/webrtc/rtc_tools/rtc_event_log_visualizer/ |
H A D | analyzer.cc | 330 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 …]
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/dports/math/py-luminol/luminol-0.3.1/src/luminol/algorithms/anomaly_detector_algorithms/ |
H A D | exp_avg_detector.py | 17 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
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H A D | __init__.py | 23 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)
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/dports/benchmarks/py-naarad/naarad-1.0.15/lib/luminol/src/luminol/algorithms/anomaly_detector_algorithms/ |
H A D | exp_avg_detector.py | 17 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
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/dports/finance/quantlib/QuantLib-1.20/ql/ |
H A D | volatilitymodel.hpp | 43 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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