comparison predict_tool_usage.py @ 3:5b3c08710e47 draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/recommendation_training/tools/tool_recommendation_model commit c635df659fe1835679438589ded43136b0e515c6"

2:76251d1ccdcc

main_path = os.getcwd()


class ToolPopularity:

    @classmethod
    def __init__(self):
        """ Init method. """

    @classmethod
    def extract_tool_usage(self, tool_usage_file, cutoff_date, dictionary):
        """
        Extract the tool usage over time for each tool
        """
        tool_usage_dict = dict()

                tool_usage_dict[tool][dt] = 0
            # sort the usage list by date
            tool_usage_dict[tool] = collections.OrderedDict(sorted(usage.items()))
        return tool_usage_dict

    @classmethod
    def learn_tool_popularity(self, x_reshaped, y_reshaped):
        """
        Fit a curve for the tool usage over time to predict future tool usage
        """
        epsilon = 0.0

                prediction = [epsilon]
            return prediction[0]
        except Exception:
            return epsilon

    @classmethod
    def get_pupularity_prediction(self, tools_usage):
        """
        Get the popularity prediction for each tool
        """
        usage_prediction = dict()

3:5b3c08710e47

main_path = os.getcwd()


class ToolPopularity:

    def __init__(self):
        """ Init method. """

    def extract_tool_usage(self, tool_usage_file, cutoff_date, dictionary):
        """
        Extract the tool usage over time for each tool
        """
        tool_usage_dict = dict()

                tool_usage_dict[tool][dt] = 0
            # sort the usage list by date
            tool_usage_dict[tool] = collections.OrderedDict(sorted(usage.items()))
        return tool_usage_dict

    def learn_tool_popularity(self, x_reshaped, y_reshaped):
        """
        Fit a curve for the tool usage over time to predict future tool usage
        """
        epsilon = 0.0

                prediction = [epsilon]
            return prediction[0]
        except Exception:
            return epsilon

    def get_pupularity_prediction(self, tools_usage):
        """
        Get the popularity prediction for each tool
        """
        usage_prediction = dict()