Package index • AIGENIE

All functions

AIGENIE(): Generate, Validate, and Check Items using AI-GENIE
GENIE(): The use of the psychometric reduction component of AIGENIE on your pre-existing item pool
build_item_attributes_from_items(): Build item.attributes Object from Items Data Frame
chat(): Chat with an LLM via API Calls
check_for_default_APIs(): Check for users who pasted the example code but didn't add an API key
check_local_llm_setup(): Check Local LLM Setup
embedding_matrix_validate_GENIE(): Validate Embedding Matrix for GENIE
embeddings.gpt5.4.example: GPT-5.4 Example Item Embeddings
ensure_aigenie_python(): Ensure AI-GENIE Python Environment is Ready
final_community_detection(): Run Final Community Detection with EGA
get_local_llm(): Download a Local LLM Model
install_gpu_support(): Install GPU Support for AI-GENIE
install_local_llm_support(): Install Local LLM Support
item.examples_validate(): Validate and Clean item.examples Against Cleaned items.attributes
item.type.definitions_validate(): Validate and Clean item.type.definitions
items.attributes_validate(): Validate items.attributes
items.gpt5.4.example: GPT-5.4 Example Item Pool
items_validate_GENIE(): Validate Items Data Frame for GENIE
iterative_stability_check(): Iteratively run BootEGA to ensure structural stability of items
list_available_models(): List Available Models
local_AIGENIE(): Generate and Validate Psychometric Scale Items Using Local Models
local_GENIE(): Local Generative Network-Integrated Evaluation (local_GENIE)
local_chat(): Chat with a local LLM (no API calls)
main.prompts_validate(): Validate and Normalize main.prompts
max(<tokens_validate>): Check that max.tokens is an integer
plot_comparison(): Plot Comparisons
plot_stability_comparison(): Plot Stability Comparison (network + item stability dotplot, side by side)
print_results(): Print Results
python_env_info(): Get AI-GENIE Python Environment Info
reduce_redundancy_uva(): Reduce Redundancy via Iterative UVA (with Redundant Pair Logging)
reinstall_python_env(): Reinstall AI-GENIE Python Environment
resolve_model_name(): Resolve and Normalize Model Name
response.options_validate(): Validate and Clean response.options
run_flags_validate(): Check that the run.overall and all.together flags are logically consistent with the number of item types.
run_item_reduction_pipeline(): Run reduction pipeline for all item types
run_pipeline_for_item_type(): Run full pipeline for a single item type
select_optimal_embedding(): Select Optimal Embedding and EGA Model Based on NMI
set_huggingface_token(): Set Hugging Face Token
sparsify_embeddings(): Sparsify Embedding Matrix
target.N_validate(): Validate and Expand target.N for Each Item Attribute
temperature_validate(): Validate temperature for Text Generation
top.p_validate(): Validate top.p for Text Generation
uva.cut.off_validate(): Validate uva.cut.off
validate_booleans(): Validate Boolean Arguments
validate_ega_params(): Validate EGA Parameters
validate_local_embedding_model(): Validate Local Embedding Model
validate_local_embedding_params(): Validate Local Embedding Parameters
validate_local_llm_params(): Validate Local LLM Generation Parameters
validate_model.path(): Validate Local Model Path
validate_prompt.notes(): Validate and Normalize prompt.notes
validate_reps(): Check that reps is an integer
validate_strings(): Validate That Inputs Are Strings
validate_system.role_prompts(): Checks system.role and prompts for the chat function
validate_user_input_AIGENIE(): Validate All User Inputs for AI-GENIE
validate_user_input_GENIE(): Validate All User Inputs for GENIE
validate_user_input_local_AIGENIE(): Validate All User Inputs for Local AI-GENIE
validate_user_input_local_GENIE(): Validate All User Inputs for Local GENIE