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Update latest dependencies (#65)
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Co-authored-by: gsheni <gsheni@users.noreply.github.com>
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DAILab-bot and gsheni committed Mar 31, 2023
1 parent 71599b4 commit 0d715ec
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Showing 5 changed files with 5 additions and 7 deletions.
7 changes: 5 additions & 2 deletions tests/latest_requirements.txt
Original file line number Diff line number Diff line change
@@ -1,8 +1,11 @@
composeml==0.10.1
contourpy==1.0.7
dill==0.3.6
featuretools==1.23.0
featuretools==1.24.0
ipython==8.12.0
matplotlib==3.7.1
matplotlib-inline==0.1.6
mypy-extensions==1.0.0
numpy==1.24.2
pandas==1.5.3
pyparsing==3.0.9
Expand All @@ -11,7 +14,7 @@ pytest-cov==4.0.0
pytest-runner==6.0.0
pytest-xdist==3.2.1
python-dateutil==2.8.2
pytz==2023.2
pytz==2023.3
scikit-learn==1.2.2
scipy==1.10.1
tornado==6.2
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1 change: 0 additions & 1 deletion tests/utils/test_data_parser.py
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Expand Up @@ -54,7 +54,6 @@


def test_denormalize():

relationships = [
("group.csv", "employee", "hire_date.csv", "employee"),
("supervisor.csv", "group", "group.csv", "group"),
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1 change: 0 additions & 1 deletion trane/core/prediction_problem_generator.py
Original file line number Diff line number Diff line change
Expand Up @@ -68,7 +68,6 @@ def iter_over_ops():
agg_ops.AGGREGATION_OPS,
filter_ops.FILTER_OPS,
):

filter_cols = (
[None] if filter == "AllFilterOp" else self.table_meta.get_columns()
)
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2 changes: 0 additions & 2 deletions trane/ops/op_base.py
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Expand Up @@ -152,7 +152,6 @@ def find_threshhold_by_remaining(
# cycle through unique values for the parameter
unique_vals = set(df[col])
for unique_val in unique_vals:

total = len(df)

# apply the operation to the sampled df and see what happens
Expand Down Expand Up @@ -227,7 +226,6 @@ def find_threshhold_by_diversity(
# return the one that results in the most entropy
unique_vals = set(df[label_col])
for unique_val in unique_vals:

self.set_hyper_parameter(
parameter_name="threshold",
parameter_value=unique_val,
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1 change: 0 additions & 1 deletion trane/utils/evaluate_tool.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,6 @@ def solve(task, evaluator, features):


def multi_process_evaluation(evaluator, problems, features, processes=8):

p = Pool(processes)
result = []
for _ in tqdm.tqdm(
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