Poisson tests using frontend

Author: jmafoster1

causal_testing/testing/metamorphic_relation.py

@@ -45,7 +45,7 @@ def to_json_stub(self, skip=True) -> dict:
             "estimator": "LinearRegressionEstimator",
             "estimate_type": "coefficient",
             "effect": "direct",
-            "mutations": [self.base_test_case.treatment_variable],
+            "treatment_variable": self.base_test_case.treatment_variable,
             "expected_effect": {self.base_test_case.outcome_variable: "SomeEffect"},
             "formula": (
                 f"{self.base_test_case.outcome_variable} ~ "
@@ -71,7 +71,7 @@ def to_json_stub(self, skip=True) -> dict:
             "estimator": "LinearRegressionEstimator",
             "estimate_type": "coefficient",
             "effect": "direct",
-            "mutations": [self.base_test_case.treatment_variable],
+            "treatment_variable": self.base_test_case.treatment_variable,
             "expected_effect": {self.base_test_case.outcome_variable: "NoEffect"},
             "formula": (
                 f"{self.base_test_case.outcome_variable} ~ "

examples/poisson-line-process/README.md

@@ -9,3 +9,10 @@ To run this case study:
 3. Run the command `python example_pure_python.py` to demonstrate causal testing using pure python.
 
 This should print a series of causal test results and produce two CSV files. `intensity_num_shapes_results_random_1000.csv` corresponds to table 1, and `width_num_shapes_results_random_1000.csv` relates to our findings regarding the relationship of width and `P_u`.
+
+## Running using the main entrypoint
+You should be able to run the main entrypoint by simply running the following command from within this directory:
+
+```
+python -m causal_testing --dag_path dag.dot --data_paths data/random/data_random_1000.csv --test_config causal_tests.json --output results/test_results.json
+```