From 64f92cc53cc47f652919d750965d4459c7c8aa0f Mon Sep 17 00:00:00 2001 From: Arun Maiya Date: Thu, 15 Jul 2021 17:53:41 -0400 Subject: [PATCH] minor edit --- README.md | 2 +- docs/index.html | 2 +- docs/meta.utils.html | 6 +++--- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index deede2e..45ecbf4 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ ## Usage -To try out the examples yourself: +To try out the [examples](https://amaiya.github.io/causalnlp/examples.html) yourself: Open In Colab diff --git a/docs/index.html b/docs/index.html index eff0844..d601b11 100644 --- a/docs/index.html +++ b/docs/index.html @@ -76,7 +76,7 @@

Usage

-

To try out the examples yourself:

+

To try out the examples yourself:

Open In Colab

diff --git a/docs/meta.utils.html b/docs/meta.utils.html index 72e3c17..77a9ec6 100644 --- a/docs/meta.utils.html +++ b/docs/meta.utils.html @@ -356,7 +356,7 @@

gini -

regression_metrics[source]

regression_metrics(y, p, w=None, metrics={'RMSE': <function rmse at 0x7fe851c36620>, 'sMAPE': <function smape at 0x7fe851c36598>, 'Gini': <function gini at 0x7fe851c366a8>})

+

regression_metrics[source]

regression_metrics(y, p, w=None, metrics={'RMSE': <function rmse at 0x7f2fa5638598>, 'sMAPE': <function smape at 0x7f2fa5638510>, 'Gini': <function gini at 0x7f2fa5638620>})

Log metrics for regressors.

Args: @@ -424,7 +424,7 @@

logloss -

classification_metrics[source]

classification_metrics(y, p, w=None, metrics={'AUC': <function roc_auc_score at 0x7fe870bc1ae8>, 'Log Loss': <function logloss at 0x7fe851c367b8>})

+

classification_metrics[source]

classification_metrics(y, p, w=None, metrics={'AUC': <function roc_auc_score at 0x7f2fc45c7a60>, 'Log Loss': <function logloss at 0x7f2fa5638730>})

Log metrics for classifiers.

Args: @@ -566,7 +566,7 @@

class Neares
-

class MatchOptimizer[source]

MatchOptimizer(treatment_col='is_treatment', ps_col='pihat', user_col=None, matching_covariates=['pihat'], max_smd=0.1, max_deviation=0.1, caliper_range=(0.01, 0.5), max_pihat_range=(0.95, 0.999), max_iter_per_param=5, min_users_per_group=1000, smd_cols=['pihat'], dev_cols_transformations={'pihat': <function mean at 0x7fe9e4451d90>}, dev_factor=1.0, verbose=True)

+

class MatchOptimizer[source]

MatchOptimizer(treatment_col='is_treatment', ps_col='pihat', user_col=None, matching_covariates=['pihat'], max_smd=0.1, max_deviation=0.1, caliper_range=(0.01, 0.5), max_pihat_range=(0.95, 0.999), max_iter_per_param=5, min_users_per_group=1000, smd_cols=['pihat'], dev_cols_transformations={'pihat': <function mean at 0x7f313866fe18>}, dev_factor=1.0, verbose=True)