Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fixed radom state in splitting and train #4907

Closed
wants to merge 6 commits into from
Closed

fixed radom state in splitting and train #4907

Changes from all commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
9013913
fixed radom state in splitting and train
kohn1001 Dec 4, 2019
d828cb3
Merge branch 'master' into split_train_test_fixed_random_state
kohn1001 Dec 4, 2019
03be74b
resolve conflicts w/ master
kohn1001 Dec 6, 2019
665e99f
Merge branch 'master' into split_train_test_fixed_random_state
kohn1001 Dec 6, 2019
9f03ae2
formatter
kohn1001 Dec 6, 2019
36bd294
Merge branch 'master' into split_train_test_fixed_random_state
kohn1001 Dec 16, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions rasa/nlu/training_data/training_data.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@
from rasa.nlu.training_data.message import Message
from rasa.nlu.training_data.util import check_duplicate_synonym
from rasa.nlu.utils import list_to_str
from sklearn.model_selection import train_test_split

DEFAULT_TRAINING_DATA_OUTPUT_PATH = "training_data.json"

Expand Down Expand Up @@ -349,6 +350,7 @@ def train_test_split(
preserving the fraction of examples per intent."""

# collect all nlu data

test, train = self.split_nlu_examples(train_frac, random_seed)

# collect all nlg stories
Expand Down Expand Up @@ -395,6 +397,7 @@ def build_nlg_stories_from_examples(examples) -> Dict[Text, list]:
]
return nlg_stories


def split_nlu_examples(
self, train_frac: float, random_seed: Optional[int] = None
) -> Tuple[list, list]:
Expand Down