From 32426667ffd32e3a92ac2536b6c766403b9f78ff Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Mon, 25 Nov 2024 12:26:57 +0000 Subject: [PATCH] Add changes for 9ad6ffcd1bc4d986d446631222c86536b96d80e6 --- _static/documentation_options.js | 2 +- searchindex.js | 2 +- tutorials/01_basic.html | 6 +++--- tutorials/02_advanced.html | 6 +++--- tutorials/03_text.html | 2 +- 5 files changed, 9 insertions(+), 9 deletions(-) diff --git a/_static/documentation_options.js b/_static/documentation_options.js index 4289daec..00e18193 100644 --- a/_static/documentation_options.js +++ b/_static/documentation_options.js @@ -1,6 +1,6 @@ var DOCUMENTATION_OPTIONS = { URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'), - VERSION: '2.4.0', + VERSION: '2.5.0', LANGUAGE: 'en', COLLAPSE_INDEX: false, BUILDER: 'html', diff --git a/searchindex.js b/searchindex.js index 302992d5..64b81945 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ 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"timeseriesflattener.specs.prediction_times.PredictionTimeFrame.timestamp_col_name"]], "value_frame (outcomespec attribute)": [[2, "timeseriesflattener.specs.outcome.OutcomeSpec.value_frame"]], "value_frame (predictorspec attribute)": [[2, "timeseriesflattener.specs.temporal.PredictorSpec.value_frame"]], "value_frame (staticspec attribute)": [[2, "timeseriesflattener.specs.static.StaticSpec.value_frame"]], "value_timestamp_col_name (timestampvalueframe attribute)": [[2, "timeseriesflattener.specs.timestamp.TimestampValueFrame.value_timestamp_col_name"]], "timeseriesflattener": [[3, "module-timeseriesflattener"]]}}) \ No newline at end of file diff --git a/tutorials/01_basic.html b/tutorials/01_basic.html index 94944a5c..265dafe8 100644 --- a/tutorials/01_basic.html +++ b/tutorials/01_basic.html @@ -452,7 +452,7 @@

Loading a temporal outcomeentity_idtimestampvaluei64datetime[μs]i6423731967-11-19 04:51:00173541967-10-17 07:57:00128411968-07-03 15:25:0015541966-07-02 08:34:00114951965-02-02 22:20:001………88451965-10-31 10:57:00139831965-10-29 17:57:00158561969-01-18 04:36:00122241965-04-28 23:06:00198961967-08-17 20:19:001 +shape: (3_103, 3)
entity_idtimestampvalue
i64datetime[μs]i64
211965-10-15 10:59:001
59581967-11-06 20:14:001
28471968-08-04 06:12:001
14531967-04-10 10:49:001
14651967-02-26 00:09:001
………
58531967-08-01 22:47:001
46621968-12-05 12:55:001
58231968-01-28 06:49:001
68001966-08-30 18:46:001
35811967-10-02 04:59:001

This dataframe should contain at most 1 row per ID, which is the first time they experience the outcome.

We now have 4 dataframes loaded: df_prediction_times, df_synth_predictors, df_synth_sex and df_synth_outcome.

@@ -645,7 +645,7 @@

Flattening -
Processing spec: ['female']
+
Processing spec: ['female']
 

 
Processing spec: ['value_1']
 

@@ -843,7 +843,7 @@ 
Flattening
     
     
-    
+    
     
     
     
diff --git a/tutorials/02_advanced.html b/tutorials/02_advanced.html
index 353188f3..3c1cbb6f 100644
--- a/tutorials/02_advanced.html
+++ b/tutorials/02_advanced.html
@@ -340,7 +340,7 @@ 
Multiple aggregation functions and lookperiods
-
Processing spec: ['value']
+
Processing spec: ['value']
 

 

 

@@ -392,7 +392,7 @@ 
Multiple values from the same dataframeentity_idtimestampvaluenew_predictori64datetime[μs]f64f6494761969-03-05 08:08:000.8169950.29800946311967-04-10 22:48:004.8180740.13674238901969-12-15 14:07:002.5037890.50035810981965-11-19 03:53:003.5150410.63796116261966-05-03 14:07:004.3531150.728808

+shape: (5, 4)
entity_idtimestampvaluenew_predictor
i64datetime[μs]f64f64
94761969-03-05 08:08:000.8169950.038813
46311967-04-10 22:48:004.8180740.851257
38901969-12-15 14:07:002.5037890.361866
10981965-11-19 03:53:003.5150410.235635
16261966-05-03 14:07:004.3531150.581922

 
 
We make a PredictorSpec similar to above. Let’s try some new aggregators.

 

@@ -428,7 +428,7 @@ 
Multiple values from the same dataframe
-
Processing spec: ['value', 'new_predictor']
+
Processing spec: ['value', 'new_predictor']
 

 

 
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diff --git a/tutorials/03_text.html b/tutorials/03_text.html
index faad2434..2604bb2e 100644
--- a/tutorials/03_text.html
+++ b/tutorials/03_text.html
@@ -380,7 +380,7 @@ 
Generating predictors from embedded text
-
Processing spec: ['and', 'for', 'in', 'of', 'or', 'patient', 'that', 'the', 'to', 'was']
+
Processing spec: ['and', 'for', 'in', 'of', 'or', 'patient', 'that', 'the', 'to', 'was']
 

 

 
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