/Florida-Tech-DengAI

Predicting the spread of Dengue Fever using climate data

Primary LanguagePython

DengAI

Florida Tech 2018-2019 DengAI Senior project -- Micah Oltmann & Hy Diep

#Files

1. Test --> Anything that refers to the dengue_features_test.csv

2. Training --> Anything that refers to the dengue_features_training.csv

3. Labels OR Outbreaks --> Anything that refers to the dengue_labels_training.csv

4. Submission --> Anything that refers to the submission_format.csv or any file that we create with the intention of submitting to competition

Structure

1. Validation --> Any functions that Check the accuracy of forecast and fitness

2. Unit_Testing -->

3. Modeling -->

4. Plots -->

5. Forecast OR Predict-->

Glossary

1. Fitness --> how well your data fits a model

2. Accuracy --> that you are getting the correct values

3. Error(s) -->

4. Experiment OR Temp --> Anything temporary

5. Constants -->

6. Analysis --> Anything that might not be used for modeling or validation, but to manually explore the data for use in creating other ideas or functions

Arguments

Modeling (Future)

# [-M]

Simple Linear Regression

# [--sim]

Muiti-Variable Linear Regression

# Options:
    # ARIMA Modeling (--ari) not on by default
    # Bruteforce AICc (--bru) not on by default
# [--mul] (--ari) (--bru)

Neural Network Modeling

# [--neu]

PAR Modeling

# [--par]

Universal Options

Forecast- **[-F]

Validation

# [-V]

Split

## Split Data (also for analysis)
    # Options:
        # years (y)
        # [--split] (y)

MAE calculation

# [--mae]

Plots

# [-P]

Error plots

# [--err]

Predictor Plot

# Options:
    # list of predictors (p)
    # outbreaks (o)
# [--pred] p o

Time vs Outbreak Analysis

# [--tvo]

Submission

# [-S]

Create Submission File

# [--create]

GUI Notes

  • p = photo
  • b = button
  • t = text
  • r = radio button
  • c = checkbox
  • l = list