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-rw-r--r--lib/functions.py10
1 files changed, 9 insertions, 1 deletions
diff --git a/lib/functions.py b/lib/functions.py
index cc97f9a..22d7e46 100644
--- a/lib/functions.py
+++ b/lib/functions.py
@@ -157,7 +157,12 @@ class AnalyticFunction:
Return training data suitable for scipy.optimize.least_squares.
arguments:
- by_param -- measurement data, partitioned by state/transition name and parameter/arg values
+ by_param -- measurement data, partitioned by state/transition name and parameter/arg values.
+ This function only uses by_param[(state_or_tran, *)][model_attribute],
+ which must be a list or 1-D NumPy array containing the ground truth.
+ The parameter values in (state_or_tran, *) must be numeric for
+ all parameters this function depends on -- otherwise, the
+ corresponding data will be left out.
state_or_tran -- state or transition name, e.g. "TX" or "send"
model_attribute -- model attribute name, e.g. "power" or "duration"
@@ -207,6 +212,9 @@ class AnalyticFunction:
by_param -- measurement data, partitioned by state/transition name and parameter/arg values
state_or_tran -- state or transition name, e.g. "TX" or "send"
model_attribute -- model attribute name, e.g. "power" or "duration"
+
+ The ground truth is read from by_param[(state_or_tran, *)][model_attribute],
+ which must be a list or 1-D NumPy array.
"""
X, Y, num_valid, num_total = self.get_fit_data(by_param, state_or_tran, model_attribute)
if num_valid > 2: