minor documentaion correction

STREAMLINE-Notebook.ipynb

@@ -209,7 +209,7 @@
    "outputs": [],
    "source": [
     "# EDA outpute file controls (None, outputs all files)\n",
-    "exclude_eda_output = None # (None, or a list of 'str' values) with possible exclusions: ['describe','univariate_plots','correlation_plots']\n",
+    "exclude_eda_output = None # (None, or a list of 'str' values) with possible exclusions: ['describe_csv','univariate_plots','correlation_plots','correlation']\n",
     "top_uni_features = 20 # (int) number of top significant features to report in notebook for univariate analysis\n",
     "\n",
     "# Data processing parameters (cleaning and feature engineering)\n",

docs/source/parameters.md

@@ -349,12 +349,13 @@ This section will go into greater depth for each run parameter, primarily using
 #### exclude_eda_output
 * **Description:** allows users to exclude some of the outputs automatically generated by STREAMLINE during phase 1
 * **Format:** 
-    1. for notebook or config file modes: provide a (list) of valid options (str) , e.g. `['describe','univariate_plots','correlation_plots']`
-    2. for command line arguments: provide as a list of comma separated values with no spaces, e.g. `describe,univariate_plots,correlation_plots`
-* **Values:** `None`, or [`'describe'`, `'univariate_plots'`, or `'correlation_plots'`] - provided in format above
-    * `describe` - don't run or output the set of standard pandas functions (i.e. `Describe()`, `Dtypes()`, and `nunique()`) as `.csv` files
+    1. for notebook or config file modes: provide a (list) of valid options (str) , e.g. `['describe_csv','univariate_plots','correlation_plots','correlation']`
+    2. for command line arguments: provide as a list of comma separated values with no spaces, e.g. `describe_describe,univariate_plots,correlation_plots,correlation`
+* **Values:** `None`, or [`'describe_csv'`, `'univariate_plots'`, or `'correlation_plots'`] - provided in format above
+    * `describe_csv` - don't run or output the set of standard pandas functions (i.e. `Describe()`, `Dtypes()`, and `nunique()`) as `.csv` files
     * `univariate_plots` - don't output individual univariate analysis plots illustrating features vs. outcome (by default STREAMLINE outputs these plots for any feature with a significant univariate association based on [`sig_cutoff`](#sig-cutoff))
     * `correlation_plots` - don't output feature correlation heatmaps for the 'initial' or 'processed' data EDA
+    * `correlation` - don't run/make feature correlation matrices for the 'initial' or 'processed' data EDA, also switches off `correlation_plots`
 
 #### top_uni_features
 * **Description:** number of most significant features to report in the notebook and PDF summary