Comments (2)
Changing the imports on tisane/graph.py
has helped, like so:
from tisane.og_variable import (
# AbstractVariable,
Nominal,
Ordinal,
Numeric,
# Unit,
Treatment,
# Nest,
RepeatedMeasure,
# Has,
# Associate,
# Cause,
# Moderate,
GreaterThanOne,
)
from tisane.variable import (
Measure,
Unit,
AbstractVariable,
Has,
Associates,
Causes,
Moderates,
Nests
)
I'm just not sure if I'm breaking anything by doing so.
from tisane.
ts.og_variable
was a temporary hack I had used to test a few tests for API changes.
Since commit, this is no longer a bug. The graph has all the expected variables and edges. This means that this program:
student = ts.Unit("Student")
# Variables instantiated through Units
race = student.nominal("Race", cardinality=5)
ses = student.numeric("SES")
test_score = student.numeric("Test score")
tutoring = student.nominal("treatment", cardinality=3)
has the following nodes/passes the below tests that were failing before:
self.assertTrue(gr.has_variable(student))
self.assertTrue(gr.has_variable(race))
self.assertTrue(gr.has_variable(ses))
self.assertTrue(gr.has_variable(test_score))
self.assertFalse(gr.has_variable(tutoring))
See test_graph.py for the above test case.
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Related Issues (20)
- Tests to add
- Algorithm for (Interactive) solving for valid statistical models
- Knowledge Base Class
- Automatic data schema detection
- Collecting Assertions
- Knowledge Base Query Results
- When update concepts, not reflected in ConceptGraph
- 🐛 Unnecessarily ask for end-user input [Design -> StatisticalModel]
- Update API to focus on variable relationships
- Update Query API
- Fixes to graph visualization in tikz + dot! HOT 1
- Add info about Dot graph generation to GRAPH_VIS.md
- Explanation of effect parameter to causes is confusing
- The docs are inconsistent
- Moderation on Nominal Not Working HOT 1
- [RFC] Causes vs. Associates_with HOT 2
- RFC on strategy/design doc for Tisane R HOT 2
- Change code generation module
- Broken links in PyPi
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