[WIP] New pip package "flojoy_nodes" - nodes PR:223

docs/nodes/flojoy_nodes/AI_ML/CLASSIFICATION/ACCURACY/a1-[autogen]/docstring.txt

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+The ACCURACY node takes two dataframes with the true and predicted labels from a classification task,
+    and indicates whether the prediction was correct or not. These dataframes should both be single columns.
+
+    Parameters
+    ----------
+    true_label: optional str
+        true label users can select from original data
+    predicted_label: optional str
+        resulting predicted label users can select
+    Returns
+    -------
+    DataFrame
+        The input predictions dataframe, with an extra boolean column "prediction_correct".
+

docs/nodes/flojoy_nodes/AI_ML/CLASSIFICATION/ACCURACY/a1-[autogen]/python_code.txt

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+from flojoy import flojoy, DataFrame
+from typing import Optional
+
+
+@flojoy
+def ACCURACY(
+    true_data: DataFrame,
+    predicted_data: DataFrame,
+    true_label: Optional[str] = None,
+    predicted_label: Optional[str] = None,
+) -> DataFrame:
+
+
+    true_df = true_data.m
+    predicted_df = predicted_data.m
+
+    # if users prov
+    if true_label:
+        true_label = true_df[true_label]
+    else:
+        true_label = true_df.iloc[:, 0]
+
+    if predicted_label:
+        predicted_label = predicted_df[predicted_label]
+    else:
+        predicted_label = predicted_df.iloc[:, 0]
+
+    predicted_df["prediction_correct"] = true_label == predicted_label
+
+    return DataFrame(df=predicted_df)