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Found 16 matching component(s)

  • class AgentExecutor

    Agent-based script executor that generates standalone Python files, manages dependencies, and provides iterative debugging capabilities

    File: /tf/active/vicechatdev/vice_ai/agent_executor.py

    class agentexecutor

  • class ScriptExecutor

    A sandboxed Python script executor that safely runs user-provided Python code with timeout controls, security restrictions, and isolated execution environments for data analysis tasks.

    File: /tf/active/vicechatdev/vice_ai/script_executor.py

    sandbox script-execution security code-validation data-analysis

  • class SmartStatService

    Service for running SmartStat analysis sessions in Vice AI

    File: /tf/active/vicechatdev/vice_ai/smartstat_service.py

    class smartstatservice

  • class Config

    Configuration class that manages application-wide settings, directory structures, API keys, and operational parameters for a statistical analysis application.

    File: /tf/active/vicechatdev/vice_ai/smartstat_config.py

    configuration settings flask api-keys directory-management

  • class StatisticalAgent

    LLM-powered statistical analysis agent

    File: /tf/active/vicechatdev/vice_ai/statistical_agent.py

    class statisticalagent

  • function calculate_sample_size_v2

    Calculates the required sample size per group for a two-sample t-test given standard deviation, effect size (Cohen's d), significance level, and statistical power.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/f0a78968-1d2b-4fbe-a0c6-a372da2ce2a4/project_1/analysis.py

    statistics power-analysis sample-size t-test experimental-design

  • function correlation_significance

    Calculates Pearson correlation coefficient and statistical significance (p-value) between two numeric arrays, handling NaN values automatically.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/d1e252f5-950c-4ad7-b425-86b4b02c3c62/analysis_7.py

    statistics correlation pearson p-value significance-testing

  • function calculate_sample_size

    Calculates the required sample size per group for a two-sample t-test using Cohen's d effect size, significance level, and statistical power.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/1315733d-fb14-4740-a1a4-021696492d5e/analysis_1.py

    statistics power-analysis sample-size t-test experimental-design

  • function calculate_sample_size_v1

    Calculates the required sample size per group for a two-group statistical comparison using Cohen's d effect size, significance level, statistical power, and standard deviation.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/e9b7c942-87b5-4a6f-865e-e7a0d62fb0a1/analysis_2.py

    statistics power-analysis sample-size experimental-design hypothesis-testing

  • function calculate_correlations

    Calculates both Pearson and Spearman correlation coefficients between Eimeria variables and performance variables, filtering out missing values and identifying statistically significant relationships.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/5a059cb7-3903-4020-8519-14198d1f39c9/analysis_1.py

    correlation statistics data-analysis pearson spearman

  • function detect_outliers_zscore

    Detects outliers in numerical data using the Z-score statistical method, identifying data points that deviate significantly from the mean.

    File: /tf/active/vicechatdev/vice_ai/smartstat_scripts/328d2f87-3367-495e-89f7-e633ff8c5b3d/analysis_2.py

    outlier-detection statistics data-cleaning anomaly-detection z-score

  • class AgentExecutor_v1

    Agent-based script executor that generates standalone Python files, manages dependencies, and provides iterative debugging capabilities

    File: /tf/active/vicechatdev/full_smartstat/agent_executor.py

    class agentexecutor

  • class Config_v1

    Configuration class that centralizes all application settings including Flask configuration, directory paths, API keys, LLM model settings, and statistical analysis parameters.

    File: /tf/active/vicechatdev/full_smartstat/config.py

    configuration settings flask llm openai

  • class StatisticalAgent_v1

    LLM-powered statistical analysis agent

    File: /tf/active/vicechatdev/full_smartstat/statistical_agent.py

    class statisticalagent

  • class AgentExecutor_v2

    Agent-based script executor that generates standalone Python files, manages dependencies, and provides iterative debugging capabilities

    File: /tf/active/vicechatdev/smartstat/agent_executor.py

    class agentexecutor

  • class StatisticalAgent_v2

    LLM-powered statistical analysis agent

    File: /tf/active/vicechatdev/smartstat/statistical_agent.py

    class statisticalagent

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