Índice

_

__init__() (método llm4time.core.evaluate.metrics.Metrics) (método llm4time.core.evaluate.statistics.Statistics) (método llm4time.core.models.azure.AzureOpenAI) (método llm4time.core.models.lmstudio.LMStudio) (método llm4time.core.models.openai.OpenAI)

A

api_key (atributo llm4time.core.models.azure.AzureOpenAI) (atributo llm4time.core.models.openai.OpenAI) api_version (atributo llm4time.core.models.azure.AzureOpenAI)

ARRAY (atributo llm4time.core.formatting.parsers.TSFormat) AZURE (atributo llm4time.core.models.Provider) azure_endpoint (atributo llm4time.core.models.azure.AzureOpenAI) AzureOpenAI (classe em llm4time.core.models.azure)

B

BACKEND (atributo llm4time.core.data.Sampling)

base_url (atributo llm4time.core.models.openai.OpenAI) bfill() (no módulo llm4time.core.data.imputation)

C

CONTEXT (atributo llm4time.core.formatting.parsers.TSFormat) COT (atributo llm4time.core.prompts.PromptType) COT_FEW (atributo llm4time.core.prompts.PromptType)

CSV (atributo llm4time.core.formatting.parsers.TSFormat) CUSTOM (atributo llm4time.core.formatting.parsers.TSFormat) (atributo llm4time.core.prompts.PromptType)

D

data (atributo llm4time.core.evaluate.statistics.Statistics)

E

ema() (no módulo llm4time.core.data.imputation)

enum() (método de classe llm4time.core.models.Provider) evaluate() (no módulo llm4time.core.metrics)

F

FEW_SHOT (atributo llm4time.core.prompts.PromptType) ffill() (no módulo llm4time.core.data.imputation)

first_quartile (propriedade llm4time.core.evaluate.statistics.Statistics ) format() (no módulo llm4time.core.formatter) FRONTEND (atributo llm4time.core.data.Sampling)

G

generate() (no módulo llm4time.core.prompt)

J

JSON (atributo llm4time.core.formatting.parsers.TSFormat)

L

linear_interpolation() (no módulo llm4time.core.data.imputation) llm4time.core.data module llm4time.core.data.imputation module llm4time.core.data.loader module llm4time.core.data.manager module llm4time.core.data.preprocessor module llm4time.core.evaluate.metrics module llm4time.core.evaluate.statistics module llm4time.core.formatter module llm4time.core.formatting.encoders.decoders module llm4time.core.formatting.parsers module

llm4time.core.metrics module llm4time.core.models module llm4time.core.models.azure module llm4time.core.models.lmstudio module llm4time.core.models.openai module llm4time.core.prompt module llm4time.core.prompts module llm4time.visualization.plots module LM_STUDIO (atributo llm4time.core.models.Provider) LMStudio (classe em llm4time.core.models.lmstudio) load_data() (no módulo llm4time.core.data.loader) load_prompt() (no módulo llm4time.core.prompt)

M

mae (propriedade llm4time.core.evaluate.metrics.Metrics ) MARKDOWN (atributo llm4time.core.formatting.parsers.TSFormat) max (propriedade llm4time.core.evaluate.statistics.Statistics ) mean (propriedade llm4time.core.evaluate.statistics.Statistics ) mean() (no módulo llm4time.core.data.imputation) median (propriedade llm4time.core.evaluate.statistics.Statistics ) median() (no módulo llm4time.core.data.imputation) Metrics (classe em llm4time.core.evaluate.metrics) min (propriedade llm4time.core.evaluate.statistics.Statistics ) missing_count (propriedade llm4time.core.evaluate.statistics.Statistics ) missing_percentage (propriedade llm4time.core.evaluate.statistics.Statistics ) model (atributo llm4time.core.models.azure.AzureOpenAI) (atributo llm4time.core.models.lmstudio.LMStudio) (atributo llm4time.core.models.openai.OpenAI) module llm4time.core.data llm4time.core.data.imputation llm4time.core.data.loader llm4time.core.data.manager llm4time.core.data.preprocessor llm4time.core.evaluate.metrics llm4time.core.evaluate.statistics llm4time.core.formatter llm4time.core.formatting.encoders.decoders llm4time.core.formatting.parsers llm4time.core.metrics llm4time.core.models llm4time.core.models.azure llm4time.core.models.lmstudio llm4time.core.models.openai llm4time.core.prompt llm4time.core.prompts llm4time.visualization.plots

N

normalize() (no módulo llm4time.core.data.preprocessor)

NUMERIC (atributo llm4time.core.formatting.encoders.decoders.TSType)

O

OPENAI (atributo llm4time.core.models.Provider)

OpenAI (classe em llm4time.core.models.openai)

P

parse() (no módulo llm4time.core.formatter) PLAIN (atributo llm4time.core.formatting.parsers.TSFormat) plot_decomposition() (no módulo llm4time.visualization.plots) plot_forecast() (no módulo llm4time.visualization.plots) plot_forecast_statistics() (no módulo llm4time.visualization.plots) plot_period_series() (no módulo llm4time.visualization.plots)

plot_time_series() (no módulo llm4time.visualization.plots) predict() (método llm4time.core.models.azure.AzureOpenAI) (método llm4time.core.models.lmstudio.LMStudio) (método llm4time.core.models.openai.OpenAI) PromptType (classe em llm4time.core.prompts) Provider (classe em llm4time.core.models)

R

RANDOM (atributo llm4time.core.data.Sampling)

rmse (propriedade llm4time.core.evaluate.metrics.Metrics )

S

Sampling (classe em llm4time.core.data) save() (no módulo llm4time.core.data.manager) sem() (método estático llm4time.core.evaluate.metrics.Metrics) sma() (no módulo llm4time.core.data.imputation) smape (propriedade llm4time.core.evaluate.metrics.Metrics )

spline_interpolation() (no módulo llm4time.core.data.imputation) split() (no módulo llm4time.core.data.preprocessor) standardize() (no módulo llm4time.core.data.preprocessor) Statistics (classe em llm4time.core.evaluate.statistics) std (propriedade llm4time.core.evaluate.statistics.Statistics ) SYMBOL (atributo llm4time.core.formatting.parsers.TSFormat)

T

TEXTUAL (atributo llm4time.core.formatting.encoders.decoders.TSType) third_quartile (propriedade llm4time.core.evaluate.statistics.Statistics ) trend_seasonality() (método estático llm4time.core.evaluate.statistics.Statistics)

TSFormat (classe em llm4time.core.formatting.parsers) TSType (classe em llm4time.core.formatting.encoders.decoders) TSV (atributo llm4time.core.formatting.parsers.TSFormat)

U

UNIFORM (atributo llm4time.core.data.Sampling)

V

valid_data (atributo llm4time.core.evaluate.statistics.Statistics)

Y

y_pred (atributo llm4time.core.evaluate.metrics.Metrics)

y_val (atributo llm4time.core.evaluate.metrics.Metrics)

Z

zero() (no módulo llm4time.core.data.imputation)

ZERO_SHOT (atributo llm4time.core.prompts.PromptType)