/
index.html
executable file
·541 lines (489 loc) · 22.3 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
<!-- Generated by pkgdown: do not edit by hand -->
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Changelog • healthcareai</title>
<!-- favicons -->
<link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
<link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
<link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png" />
<link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png" />
<link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png" />
<link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png" />
<!-- jquery -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
<!-- Bootstrap -->
<link href="https://cdnjs.cloudflare.com/ajax/libs/bootswatch/3.4.0/yeti/bootstrap.min.css" rel="stylesheet" crossorigin="anonymous" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
<!-- bootstrap-toc -->
<link rel="stylesheet" href="../bootstrap-toc.css">
<script src="../bootstrap-toc.js"></script>
<!-- Font Awesome icons -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" />
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
<!-- clipboard.js -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script>
<!-- headroom.js -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script>
<!-- pkgdown -->
<link href="../pkgdown.css" rel="stylesheet">
<script src="../pkgdown.js"></script>
<!-- docsearch -->
<script src="../docsearch.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/docsearch.js/2.6.3/docsearch.min.css" integrity="sha256-QOSRU/ra9ActyXkIBbiIB144aDBdtvXBcNc3OTNuX/Q=" crossorigin="anonymous" />
<link href="../docsearch.css" rel="stylesheet">
<script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/jquery.mark.min.js" integrity="sha256-4HLtjeVgH0eIB3aZ9mLYF6E8oU5chNdjU6p6rrXpl9U=" crossorigin="anonymous"></script>
<meta property="og:title" content="Changelog" />
<meta property="og:image" content="https://docs.healthcare.ai/logo.png" />
<!-- mathjax -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
<![endif]-->
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-85609357-1"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-85609357-1');
</script>
</head>
<body data-spy="scroll" data-target="#toc">
<div class="container template-news">
<header>
<div class="navbar navbar-default navbar-fixed-top" role="navigation">
<div class="container">
<div class="navbar-header">
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">healthcareai</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">2.5.0</span>
</span>
</div>
<div id="navbar" class="navbar-collapse collapse">
<ul class="nav navbar-nav">
<li class="dropdown">
<a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
Vignettes
<span class="caret"></span>
</a>
<ul class="dropdown-menu" role="menu">
<li>
<a href="../articles/site_only/healthcareai.html">Getting Started</a>
</li>
<li>
<a href="../articles/site_only/db_connections.html">Database Connections</a>
</li>
<li>
<a href="../articles/site_only/deploy_model.html">Deploying a Model</a>
</li>
<li>
<a href="../articles/site_only/best_levels.html">Variables with Many Categories</a>
</li>
<li>
<a href="../articles/site_only/performance.html">Performance with Big Data</a>
</li>
<li>
<a href="../articles/site_only/transitioning.html">Transition from Version 1</a>
</li>
</ul>
</li>
<li>
<a href="../reference/index.html">Functions</a>
</li>
<li>
<a href="../news/index.html">News</a>
</li>
</ul>
<ul class="nav navbar-nav navbar-right">
<li>
<a href="https://github.com/HealthCatalyst/healthcareai-r">
<span class="fa fa-github"></span>
</a>
</li>
<li>
<a href="https://healthcare-ai.slack.com/">
<span class="fa fa-users"></span>
</a>
</li>
</ul>
<form class="navbar-form navbar-right hidden-xs hidden-sm" role="search">
<div class="form-group">
<input type="search" class="form-control" name="search-input" id="search-input" placeholder="Search..." aria-label="Search for..." autocomplete="off">
</div>
</form>
</div><!--/.nav-collapse -->
</div><!--/.container -->
</div><!--/.navbar -->
</header>
<div class="row">
<div class="col-md-9 contents">
<div class="page-header">
<h1 data-toc-skip>Changelog <small></small></h1>
<small>Source: <a href='https://github.com/HealthCatalyst/healthcareai-r/blob/master/NEWS.md'><code>NEWS.md</code></a></small>
</div>
<div id="healthcareai-2-5-0" class="section level1">
<h1 class="page-header" data-toc-text="2.5.0">
<a href="#healthcareai-2-5-0" class="anchor"></a>healthcareai 2.5.0<small> Unreleased </small>
</h1>
<div id="breaking-changes" class="section level4">
<h4 class="hasAnchor">
<a href="#breaking-changes" class="anchor"></a>Breaking changes</h4>
<ul>
<li>
<code>healthcareai</code> now depends on dplyr 1.0.0 and tibble 3.0.0. You will need these versions or later. Various hidden changes were made to be compatible with these packages’ <a href="https://github.com/tidymodels/recipes/blob/master/NEWS.md">lastest breaking changes</a>.</li>
</ul>
</div>
<div id="changed" class="section level4">
<h4 class="hasAnchor">
<a href="#changed" class="anchor"></a>Changed</h4>
<ul>
<li>The <code>allow_parallel</code> parameter was removed to prevent nested parallelism.</li>
</ul>
</div>
</div>
<div id="healthcareai-2-3-0" class="section level1">
<h1 class="page-header" data-toc-text="2.3.0">
<a href="#healthcareai-2-3-0" class="anchor"></a>healthcareai 2.3.0<small> 2018-12-12 </small>
</h1>
<div id="breaking-changes-1" class="section level4">
<h4 class="hasAnchor">
<a href="#breaking-changes-1" class="anchor"></a>Breaking changes</h4>
<ul>
<li>
<code>healthcareai</code> now depends on recipes 0.1.4 and caret 6.0.81. You will need these versions or later. Various hidden changes were made to be compatible with these packages’ <a href="https://github.com/tidymodels/recipes/blob/master/NEWS.md">lastest breaking changes</a>.</li>
</ul>
</div>
<div id="changed-1" class="section level4">
<h4 class="hasAnchor">
<a href="#changed-1" class="anchor"></a>Changed</h4>
<ul>
<li>
<code>bagimpute</code> in <code>prep_data</code> now accepts <code>bag_trees</code> to specify the number of trees. This is updated to be compatible with <a href="https://github.com/tidymodels/recipes/blob/master/NEWS.md">recipes 0.1.4</a>.</li>
<li>Local loaded <code>healthcareai</code> library versions now are saved to model objects.</li>
</ul>
</div>
</div>
<div id="healthcareai-2-2-0" class="section level1">
<h1 class="page-header" data-toc-text="2.2.0">
<a href="#healthcareai-2-2-0" class="anchor"></a>healthcareai 2.2.0<small> 2018-09-01 </small>
</h1>
<div id="added" class="section level4">
<h4 class="hasAnchor">
<a href="#added" class="anchor"></a>Added</h4>
<ul>
<li>Support for models of outcomes with more than two classes (multiclass)</li>
<li>Explore a model’s logic with <code>explore</code>. Make counterfactual predictions across the most-important features in a model to see how those features influence predicted outcomes.
<ul>
<li>
<code>plot</code> method to visualize a model’s logic.</li>
</ul>
</li>
<li>Identify opportunities to improve a patient’s outcome with Patient Impact Predictor, <code>pip</code>. Carefully specify variables and alternative values that exert causal influence on outcomes; then get recommended actions for a given patient with expected outcomes given the actions.</li>
<li>Predict outcome groups based on how bad false alarms are relative to missed detections (<code>outcome_groups</code> argument to <code>predict</code>).</li>
<li>Group predictions into risk groups using the <code>risk_groups</code> argument to <code>predict</code>.
<ul>
<li>
<code>plot</code> support for outcome- and risk-group predictions.</li>
</ul>
</li>
<li>Get thresholds to split outcome classes to optimize various performance metrics with <code>get_thresholds</code>.
<ul>
<li>
<code>plot</code> method to compare performance across metrics at various thresholds.</li>
</ul>
</li>
<li>
<code>split_train_test</code> can keep multiple observations of an individual in the same split via the <code>grouping_col</code> argument.</li>
<li>Replace values that represent missingness but have been interpreted by R as strings with <code>NA</code> with <code>make_na</code>.
<ul>
<li>If <code>missingness</code> finds any such strings it issues a warning with code that can be used to do the replacement.</li>
</ul>
</li>
<li>Add counts to factor levels with <code>rename_with_counts</code>.</li>
<li>
<code>summary.missingness</code> method for wide datasets with missingness in many columns.</li>
</ul>
</div>
<div id="changed-2" class="section level4">
<h4 class="hasAnchor">
<a href="#changed-2" class="anchor"></a>Changed</h4>
<ul>
<li>In <code>prep_data</code>, trigonometric transformations make circular features out of dates and times for more informative features in less-wide data frames.</li>
<li>Fixed AUPR in <code>plot.model_class</code> and <code>summary.model_class</code>.</li>
<li>Can specify performance metric to optimize in <code>machine_learn</code>.</li>
<li>
<code>missingness</code> is faster.</li>
<li>Predict on XGBoost models now works for any column order in the new dataset.</li>
<li>Regression prediction plots are plotted at 1:1 aspect ratio.</li>
<li>
<code>add_best_levels</code> works in deployment even if none of the columns to be created are present in the deployment observations.</li>
<li>
<code>prep_data</code> can handle logical features.</li>
<li>
<code>outcome</code> doesn’t need to be re-declared in model training if it was specified in data prep.</li>
</ul>
</div>
<div id="removed" class="section level4">
<h4 class="hasAnchor">
<a href="#removed" class="anchor"></a>Removed</h4>
<ul>
<li>No longer support training models on un-prepped data.</li>
<li>No longer support wrapping <code>caret</code>-trained models into a <code>model_list</code>.</li>
</ul>
</div>
</div>
<div id="healthcareai-2-1-0" class="section level1">
<h1 class="page-header" data-toc-text="2.1.0">
<a href="#healthcareai-2-1-0" class="anchor"></a>healthcareai 2.1.0<small> 2018-07-01 </small>
</h1>
<div id="added-1" class="section level4">
<h4 class="hasAnchor">
<a href="#added-1" class="anchor"></a>Added</h4>
<ul>
<li>Identify values of high-cardinality variables that will make good features, even with multiple values per observation with <code>add_best_levels</code> and <code>get_best_levels</code>.</li>
<li>glmnet for regularized linear and logistic regression.</li>
<li>
<code>interpret</code> and <code>plot.interpret</code> to extract glmnet estimates.</li>
<li>XGBoost for regression and classification models.</li>
<li>
<code>variable_importance</code> returns random forest or xgboost importances, whichever model performs better.</li>
</ul>
</div>
<div id="changed-3" class="section level4">
<h4 class="hasAnchor">
<a href="#changed-3" class="anchor"></a>Changed</h4>
<ul>
<li>
<code>predict</code> can now write an extensive log file, and if that option is activated, as in production, <code>predict</code> is a safe function that always completes; if there is an error, it returns a zero-row data frame that is otherwise the same as what would have been returned (provided <code>prep_data</code> or <code>machine_learn</code> was used).</li>
<li>Control how low variance must be to remove columns by providing a numeric value to the <code>remove_near_zero_variance</code> argument of <code>prep_data</code>.</li>
<li>Fixed bug in missingness that caused very small values to round to zero.</li>
<li>Messages about time required for model training are improved.</li>
<li>
<code>separate_drgs</code> returns <code>NA</code> for complication when the DRG is missing.</li>
<li>Removed some redundent training data from <code>model_list</code> objects.</li>
<li>
<code>methods</code> is attached on attaching the package so that scripts operate the same in Rscript, R GUI, and R Studio.</li>
<li>Minor changes to maintain compatibility with <code>ggplot2</code>, <code>broom</code>, and <code>recipes</code>.</li>
</ul>
</div>
<div id="removed-1" class="section level4">
<h4 class="hasAnchor">
<a href="#removed-1" class="anchor"></a>Removed</h4>
<ul>
<li>Removed support for k-nearest neighbors</li>
<li>Remove support for maxstat splitting rule in random forests</li>
</ul>
</div>
</div>
<div id="healthcareai-2-0-0" class="section level1">
<h1 class="page-header" data-toc-text="2.0.0">
<a href="#healthcareai-2-0-0" class="anchor"></a>healthcareai 2.0.0<small> 2018-04-20 </small>
</h1>
<p>A whole new architecture featuring a simpler API, more rigor under the hood, and attractive plots.</p>
</div>
<div id="healthcareai-1-2-4" class="section level1">
<h1 class="page-header" data-toc-text="1.2.4">
<a href="#healthcareai-1-2-4" class="anchor"></a>healthcareai 1.2.4<small> 2018-02-14 </small>
</h1>
<ul>
<li>Patch to conform to CRAN policy of not writing to inst/</li>
<li>Patch to maintain compatibility with <code>ranger</code> and <code>caret</code>
</li>
<li>Import <code>methods</code> to maintain functionality across environments</li>
<li>Clean up of variation-exploration functions</li>
</ul>
</div>
<div id="healthcareai-1-2-0" class="section level1">
<h1 class="page-header" data-toc-text="1.2.0">
<a href="#healthcareai-1-2-0" class="anchor"></a>healthcareai 1.2.0<small> 2017-10-27 </small>
</h1>
<div id="added-2" class="section level4">
<h4 class="hasAnchor">
<a href="#added-2" class="anchor"></a>Added</h4>
<ul>
<li>
<em>Limone</em> – a <a href="https://www.oreilly.com/learning/introduction-to-local-interpretable-model-agnostic-explanations-lime">lime</a>-like model interpretation tool.
<ul>
<li>Called via <code>getProcessVariablesDf</code>
</li>
<li>See examples at the end of the help files for <code>RandomForestDeployment</code> and <code>LassoDeployment</code> for usage details</li>
</ul>
</li>
</ul>
</div>
</div>
<div id="healthcareai-1-1-0" class="section level1">
<h1 class="page-header" data-toc-text="1.1.0">
<a href="#healthcareai-1-1-0" class="anchor"></a>healthcareai 1.1.0<small> Unreleased </small>
</h1>
<div id="added-3" class="section level4">
<h4 class="hasAnchor">
<a href="#added-3" class="anchor"></a>Added</h4>
<ul>
<li>Deploy now saves information about the model and deployment as an attribute of the output dataframe. This information is written to a log file in the working directory.</li>
<li>
<code>skip_on_not_appveyor</code> will skip a unit test unless it’s being run on Appveyor.</li>
</ul>
</div>
<div id="changed-4" class="section level4">
<h4 class="hasAnchor">
<a href="#changed-4" class="anchor"></a>Changed</h4>
<ul>
<li>Unit tests involving MSSQL now only run on Appveyor.</li>
</ul>
</div>
<div id="removed-2" class="section level4">
<h4 class="hasAnchor">
<a href="#removed-2" class="anchor"></a>Removed</h4>
<ul>
<li>
<code>skip_if_no_mssql</code> isn’t needed as a test utility anymore.</li>
</ul>
</div>
</div>
<div id="healthcareai-1-0-0" class="section level1">
<h1 class="page-header" data-toc-text="1.0.0">
<a href="#healthcareai-1-0-0" class="anchor"></a>healthcareai 1.0.0<small> 2017-09-11 </small>
</h1>
<div id="added-4" class="section level4">
<h4 class="hasAnchor">
<a href="#added-4" class="anchor"></a>Added</h4>
<ul>
<li>Multiclass functionality with XGBoost is supported using <code>XGBoostDevelopment</code> and <code>XGBoostDeployment</code>.</li>
<li>K-means clustering is supported using <code>KmeansClustering</code>.</li>
<li>
<code>findVariaion</code> will return groups with the highest variation of a chosen target measure within a data set.</li>
<li>
<code>variationAcrossGroups</code> will plot a boxplot of variation between groups for a chosen target measure.</li>
</ul>
</div>
<div id="changed-5" class="section level4">
<h4 class="hasAnchor">
<a href="#changed-5" class="anchor"></a>Changed</h4>
<ul>
<li>
<code>SupervisedModelDevelopment</code> now saves the model after training</li>
<li>
<code>SupervisedModelDeployment</code> no longer trains models. It only loads the model saved in <code>SupervisedModelDevelopment</code>. Predictions are made for all data.</li>
<li>
<code>imputeColumn</code> was replaced with <code>imputeDF</code>
</li>
<li>SQL tools now use a <code>DBI</code> backend. We support reading and writing to MSSQL and SQLite databases.</li>
<li>SQL tools are now common functions used outside the algorithms.</li>
<li>Model file documentation files now accurately reflect the available methods.</li>
</ul>
</div>
<div id="removed-3" class="section level4">
<h4 class="hasAnchor">
<a href="#removed-3" class="anchor"></a>Removed</h4>
<ul>
<li>
<code>testWindowCol</code> is no longer a param in <code>SupervisedModelDeployment</code> or used in the algorithms.</li>
<li>
<code>writeToDB</code> is no longer a param in <code>SupervisedModelDeployment</code> or used in the algorithms.</li>
<li>
<code>destSchemaTable</code> is no longer a param in <code>SupervisedModelDeployment</code> or used in the algorithms.</li>
</ul>
</div>
</div>
<div id="healthcareai-0-1-12" class="section level1">
<h1 class="page-header" data-toc-text="0.1.12">
<a href="#healthcareai-0-1-12" class="anchor"></a>healthcareai 0.1.12<small> 2017-05-05 </small>
</h1>
<div id="added-5" class="section level4">
<h4 class="hasAnchor">
<a href="#added-5" class="anchor"></a>Added</h4>
<ul>
<li>Added getters for predictions <code>getPredictions()</code> in development (lasso, random forest, linear mixed model)</li>
<li>Added getOutDf to each algorithm deploy file so predictions can go to CSV</li>
<li>Added percentDataAvailableInDateRange, to eventually replace countPercentEmpty</li>
<li>Added featureAvailabilityProfiler</li>
</ul>
</div>
<div id="changed-6" class="section level4">
<h4 class="hasAnchor">
<a href="#changed-6" class="anchor"></a>Changed</h4>
<ul>
<li>TimeStamp column predictive output is now local time (not GMT)</li>
</ul>
</div>
<div id="fixed" class="section level4">
<h4 class="hasAnchor">
<a href="#fixed" class="anchor"></a>Fixed</h4>
</div>
</div>
<div id="healthcareai-0-1-11" class="section level1">
<h1 class="page-header" data-toc-text="0.1.11">
<a href="#healthcareai-0-1-11" class="anchor"></a>healthcareai 0.1.11<small> 2017-02-13 </small>
</h1>
<div id="added-6" class="section level4">
<h4 class="hasAnchor">
<a href="#added-6" class="anchor"></a>Added</h4>
<ul>
<li>Added changelog</li>
<li>Added travis.yml to prepare for CRAN release</li>
</ul>
</div>
<div id="changed-7" class="section level4">
<h4 class="hasAnchor">
<a href="#changed-7" class="anchor"></a>Changed</h4>
<ul>
<li>generateAUC now calls getCutOffs to give guidance on ideal cutoffs.</li>
<li>getCutOffs now generates list of cutoffs and suggests ideal ones.</li>
<li>API changes for both functions.</li>
<li>calculatePerformance (model class method) now calls generateAUC</li>
</ul>
</div>
<div id="fixed-1" class="section level4">
<h4 class="hasAnchor">
<a href="#fixed-1" class="anchor"></a>Fixed</h4>
<ul>
<li>Bug fixes in example files concerning reproducability</li>
</ul>
</div>
</div>
</div>
<div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
<nav id="toc" data-toggle="toc" class="sticky-top">
<h2 data-toc-skip>Contents</h2>
</nav>
</div>
</div>
<footer>
<div class="copyright">
<p>Developed by Levi Thatcher, Michael Levy, Mike Mastanduno, Taylor Larsen, Taylor Miller, Rex Sumsion.</p>
</div>
<div class="pkgdown">
<p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.5.1.</p>
</div>
</footer>
</div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/docsearch.js/2.6.1/docsearch.min.js" integrity="sha256-GKvGqXDznoRYHCwKXGnuchvKSwmx9SRMrZOTh2g4Sb0=" crossorigin="anonymous"></script>
<script>
docsearch({
apiKey: 'ac39465bc37cbef616f5de1e646b6037',
indexName: 'healthcareai',
inputSelector: 'input#search-input.form-control',
transformData: function(hits) {
return hits.map(function (hit) {
hit.url = updateHitURL(hit);
return hit;
});
}
});
</script>
</body>
</html>