AgML-crop-yield-forecasting
AgML-crop-yield-forecasting
Index
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
I
|
L
|
M
|
N
|
P
|
R
|
S
|
T
|
U
|
Y
_
_abc_impl (models.model.BaseModel attribute)
(models.naive_models.AverageYieldModel attribute)
(models.sklearn_model.SklearnModel attribute)
_align_data() (in module datasets.configured)
_design_features() (models.sklearn_model.SklearnModel method)
_empty_df_target() (datasets.dataset.Dataset static method)
_filter_df_on_index() (datasets.dataset.Dataset static method)
_get_feature_data() (datasets.dataset.Dataset method)
_optimize_hyperparameters() (models.sklearn_model.SklearnModel method)
_split_df_on_index() (datasets.dataset.Dataset static method)
_validate_dfs() (datasets.dataset.Dataset static method)
A
add_period() (in module util.features)
aggregate_by_period() (in module util.features)
AverageYieldModel (class in models.naive_models)
B
BaseModel (class in models.model)
C
config
module
count_threshold() (in module util.features)
D
data_to_pandas() (in module util.data)
Dataset (class in datasets.dataset)
datasets
module
datasets.configured
module
datasets.dataset
module
dekad_from_date() (in module util.features)
design_features() (in module util.features)
E
evaluate_model() (in module evaluation.eval)
evaluate_predictions() (in module evaluation.eval)
evaluation
module
evaluation.eval
module
F
feature_names (datasets.dataset.Dataset property)
fit() (models.model.BaseModel method)
(models.naive_models.AverageYieldModel method)
(models.sklearn_model.SklearnModel method)
fortnight_from_date() (in module util.features)
G
get_default_metrics() (in module evaluation.eval)
I
indices() (datasets.dataset.Dataset method)
L
load() (datasets.dataset.Dataset static method)
(models.model.BaseModel method)
(models.naive_models.AverageYieldModel method)
(models.sklearn_model.SklearnModel method)
load_dfs_test_maize() (in module datasets.configured)
load_dfs_test_maize_fr() (in module datasets.configured)
load_dfs_test_maize_us() (in module datasets.configured)
load_dfs_test_softwheat_nl() (in module datasets.configured)
location_ids (datasets.dataset.Dataset property)
M
mape() (in module evaluation.eval)
metric() (in module evaluation.eval)
models
module
models.model
module
models.naive_models
module
models.sklearn_model
module
module
config
datasets
datasets.configured
datasets.dataset
evaluation
evaluation.eval
models
models.model
models.naive_models
models.sklearn_model
runs
util
util.data
util.features
N
normalized_rmse() (in module evaluation.eval)
P
predict() (models.model.BaseModel method)
(models.sklearn_model.SklearnModel method)
predict_batch() (models.model.BaseModel method)
(models.naive_models.AverageYieldModel method)
(models.sklearn_model.SklearnModel method)
predict_item() (models.model.BaseModel method)
R
runs
module
S
save() (models.model.BaseModel method)
(models.naive_models.AverageYieldModel method)
(models.sklearn_model.SklearnModel method)
SklearnModel (class in models.sklearn_model)
split_on_years() (datasets.dataset.Dataset method)
T
targets() (datasets.dataset.Dataset method)
U
unpack_time_series() (in module util.features)
util
module
util.data
module
util.features
module
Y
years (datasets.dataset.Dataset property)