alexpghayes safepredict issues - Githubissues

alexpghayes / safepredict

Consistent prediction following tidymodels principles

https://alexpghayes.github.io/safepredict/

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Optionally validate new_data based on prototype of training data with hardhart infrastructure

#15 alexpghayes opened 5 years ago
0
Do you intend to require R >= 3.3?

#14 maurolepore opened 5 years ago
2
Check not inheriting tibble issues from parsnip

#13 alexpghayes opened 5 years ago
0
Use CRAN ellipsis

#12 alexpghayes opened 5 years ago
0
Use same general option as the rest of tidymodels to select positive class in binary classification problems

#11 alexpghayes opened 5 years ago
0
Chaotic work

#10 alexpghayes closed 5 years ago
0
Test that missing predictions are always NA, never NaN or Inf

#9 alexpghayes opened 5 years ago
0
Make sure not to inherent issues from parsnip code

#8 alexpghayes opened 6 years ago
1
Standardize the multi_predict interface

#7 alexpghayes opened 6 years ago
0
Safepredict / probably responsibilty delineation

#6 alexpghayes opened 6 years ago
0
Add packages to `Suggests`

#5 alexpghayes opened 6 years ago
0
Attach `earth` in `earth_reg_updater()`

#4 alexpghayes opened 6 years ago
0
Models to support for initial CRAN release

#3 alexpghayes opened 6 years ago
0
Make sure to use `std_error` as argument name rather than `se_fit`

#2 alexpghayes opened 6 years ago
0
Make sure to pass seed argument

#1 alexpghayes opened 6 years ago
0