projectpredict
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What is ProjectPredict?
Installation
The Recommendation Engine
Examples
Visualization
Customized PDFs
Customized Learning Models
Next Steps
Sphinx AutoAPI Index
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C
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D
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__eq__() (pdf.DatePdf method)
(pdf.DeterministicPdf method)
(pdf.DurationPdf method)
(pdf.SciPyPdf method)
(task.Entity method)
__hash__() (task.Entity method)
__init__() (artists.ArtistBase method)
(artists.MatplotlibArtist method)
(exceptions.InvalidProject method)
(learningmodels.scikit.GaussianProcessRegressorModel method)
(pdf.DatePdf method)
(pdf.DeterministicPdf method)
(pdf.DurationPdf method)
(pdf.GaussianPdf method)
(pdf.SciPyPdf method)
(project.Project method)
(project.TaskSample method)
(project.TaskStatistics method)
(task.Entity method)
(task.Task method)
__repr__() (exceptions.InvalidProject method)
(pdf.SciPyPdf method)
(project.TaskStatistics method)
(task.Entity method)
_add_variance_bars() (artists.MatplotlibArtist method)
_adjust_ticks() (artists.MatplotlibArtist method)
_calculate_y_position() (artists.ArtistBase method)
_create_color_converter() (artists.MatplotlibArtist method)
_date_to_timestamp() (artists.ArtistBase method)
_default_recommendation_score_func() (project.Project method)
_default_recommendation_selection_func() (project.Project method)
_find_best_neighbor_task() (artists.ArtistBase method)
_find_best_y_position() (artists.ArtistBase method)
_find_longest_path_length() (artists.ArtistBase method)
_find_optimal_distance() (artists.ArtistBase method)
_get_color_converter() (artists.MatplotlibArtist method)
_get_parents_and_children() (project.Project method)
_get_relevant_positions() (artists.ArtistBase method)
_get_samples() (project.Project method)
A
add_dependencies() (project.Project method)
add_dependency() (project.Project method)
add_task() (project.Project method)
add_tasks() (project.Project method)
ArtistBase (class in artists)
artists (module)
C
calculate_earliest_finish_times() (project.Project method)
calculate_latest_start_times() (project.Project method)
calculate_task_statistics() (project.Project method)
complete() (task.Task method)
completion_time (task.Task attribute)
create() (pdf.PdfFactory method)
D
data (task.Task attribute)
DatePdf (class in pdf)
datetime_stats() (in module project)
deadline_weight (task.Task attribute)
dependencies() (project.Project method)
dependencies_summary() (project.Project method)
DeterministicPdf (class in pdf)
draw() (artists.MatplotlibArtist method)
duration (project.TaskSample attribute)
duration_pdf (task.Task attribute)
DurationPdf (class in pdf)
E
earliest_finish (project.TaskSample attribute)
(project.TaskStatistics attribute)
earliest_finish_sample_func() (project.Project method)
earliest_start (project.TaskSample attribute)
earliest_start_date_pdf (task.Task attribute)
Entity (class in task)
errors (exceptions.InvalidProject attribute)
exceptions (module)
F
from_dict() (pdf.DeterministicPdf method)
(pdf.GaussianPdf method)
(project.Project method)
from_pert() (task.Task method)
from_samples() (project.TaskStatistics method)
from_string() (pdf.TimeUnits method)
from_task() (project.TaskSample method)
G
GaussianPdf (class in pdf)
GaussianProcessRegressorModel (class in learningmodels.scikit)
get_duration_sample() (task.Task method)
get_earliest_start_sample() (task.Task method)
get_latest_finish_sample() (task.Task method)
get_positions() (artists.ArtistBase method)
get_starting_and_terminal_tasks() (project.Project method)
get_task_from_id() (project.Project method)
I
InvalidProject (class in exceptions)
is_completed() (task.Task method)
is_started() (task.Task method)
is_trained (learningmodels.scikit.GaussianProcessRegressorModel attribute)
L
latest_finish (project.TaskSample attribute)
latest_finish_date_pdf (task.Task attribute)
latest_start (project.TaskSample attribute)
(project.TaskStatistics attribute)
latest_start_sample_func() (project.Project method)
learningmodels (module)
learningmodels.scikit (module)
M
MatplotlibArtist (class in artists)
mean() (pdf.DatePdf method)
(pdf.DeterministicPdf method)
(pdf.DurationPdf method)
(pdf.SciPyPdf method)
mean_datetime (pdf.DatePdf attribute)
mean_duration() (task.Task method)
model (learningmodels.scikit.GaussianProcessRegressorModel attribute)
(project.Project attribute)
N
name (project.Project attribute)
(task.Entity attribute)
O
ordering (learningmodels.scikit.GaussianProcessRegressorModel attribute)
P
pdf (module)
(pdf.DatePdf attribute)
(pdf.DeterministicPdf attribute)
(pdf.DurationPdf attribute)
(pdf.GaussianPdf attribute)
PdfFactory (class in pdf)
predict() (learningmodels.scikit.GaussianProcessRegressorModel method)
project (artists.ArtistBase attribute)
(artists.MatplotlibArtist attribute)
Project (class in project)
project (module)
project_uid (task.Task attribute)
R
recommend_next() (project.Project method)
recommendation_sample_func() (project.Project method)
S
sample() (pdf.DatePdf method)
(pdf.DeterministicPdf method)
(pdf.DurationPdf method)
(pdf.SciPyPdf method)
SciPyPdf (class in pdf)
set_duration_pdf() (task.Task method)
set_earliest_start_pdf() (task.Task method)
set_latest_finish_pdf() (task.Task method)
start() (task.Task method)
start_time (task.Task attribute)
T
Task (class in task)
task (module)
tasks() (project.Project method)
TaskSample (class in project)
TaskStatistics (class in project)
timedelta_stats() (in module project)
TimeUnits (class in pdf)
to_dict() (pdf.DeterministicPdf method)
(pdf.GaussianPdf method)
to_timedelta() (pdf.TimeUnits method)
total_float (project.TaskStatistics attribute)
total_float() (project.TaskSample method)
train() (learningmodels.scikit.GaussianProcessRegressorModel method)
U
uid (project.Project attribute)
(task.Entity attribute)
units (learningmodels.scikit.GaussianProcessRegressorModel attribute)
(pdf.DatePdf attribute)
(pdf.DurationPdf attribute)
update_from_dict() (project.Project method)
V
validate() (project.Project method)
variance() (pdf.DeterministicPdf method)
(pdf.SciPyPdf method)
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